Software and Computer Systems
Omanshu
Bhatt
Computer Engineering graduate with a foundation across software development, computer systems, databases, AI & machine learning and core engineering concepts.
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01 — About
From curiosity to systems
I am a Computer Engineering graduate from Govind Ballabh Pant University of Agriculture and Technology and I have always been drawn to understanding how things work beneath the surface. Growing up in Almora, I developed a habit of looking at problems from different angles rather than settling for the first solution. That curiosity eventually led me from writing my first programs to building backend applications and exploring artificial intelligence. Today, I enjoy turning ideas into working systems and learning what it takes to make them reliable, useful and practical.
My work sits at the intersection of software development and AI. I have worked with Python, C, Java, FastAPI, databases and web technologies while also exploring machine learning, computer vision, and AI-powered applications. My major project, a Deepfake Image Integrity System, brought these areas together through a mobile application, browser extension, AI models and a backend service. What interests me most is not simply using a technology because it is popular, but understanding where it fits and how different pieces can come together to solve a real problem.
Along the way, I have gained practical exposure through internships, certifications and hands on projects in AI, machine learning, robotics, web development, and professional technology programs. I have completed my B.Tech in Computer Engineering and now I am looking for opportunities where I can contribute as an engineer, learn from experienced people and work on products that have a purpose beyond just existing on paper. I am still early in my journey, but I am serious about building, improving and seeing how far I can take it.
Core
Python · Java · C · Go · SQL
Systems
FastAPI · PostgreSQL · Redis · Docker
AI / ML
PyTorch · Computer Vision · RAG · LangChain · Vector Search
Foundation
DSA · Operating Systems · DBMS · OOP
02 — Skills
What I work with
A practical mix of languages, frameworks, data technologies, tools that I have worked with.
Languages
Web & Frameworks
Data & Databases
AI / ML
Tooling & Infra
03 — Experience
Where I've worked
Indian Oil Corporation Limited (IOCL)
Trainee Intern
Supported technical and organizational tasks within a large-scale public sector engineering environment, gaining exposure to professional workflows and cross-team coordination. Supported data analysis initiatives for operational efficiency improvements.
Kodacy
Virtual Intern — AI/ML & Robotics
Completed two virtual internship tracks covering AI/ML fundamentals, data analysis, and robotics/automation concepts. Developed robotics simulation prototypes using Python and relevant frameworks
04 — Projects
Things I've built end to end
Click on any project to open a detailed case study.
01
ATLAS — Web Research & Evidence Engine
Click to read the full case study ▸
PythonFastAPIReactRAGLLMDocker
02
AI Codebase Intelligence Platform
Click to read the full case study ▸
PythonFastAPIReactRAGVector DBDocker
03
Deepfake Image Integrity System
Click to read the full case study ▸
PythonPyTorchViTEfficientNet-B0
04
Nexus 3D — Collaborative Engineering Workspace
Click to read the full case study ▸
ReactNode.jsYjsCRDTPostgreSQLE2B
05 — Education
Where it started
B.Tech, Computer Engineering — G.B. Pant University, Pantnagar
2022 – 2026 · CGPA 7.20
Class XII — Beersheba Senior Secondary School, Almora
90.40%
Class X — Beersheba Senior Secondary School, Almora
95.33%
06 — Certifications
Verified ground
Software Engineering Job Simulation
Commonwealth Bank
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Software Engineering Job Simulation
Commonwealth Bank
About the Certification
- This job simulation from Commonwealth Bank provides hands-on exposure to the full software engineering lifecycle in a large enterprise environment. It covers backend development, frontend development, API integration, testing, and version control — all within the context of a real-world banking application.
- The simulation mirrors the workflows and tools used by Commonwealth Bank's engineering teams, including .NET, React/Redux, MongoDB, Git, and CI/CD practices. Participants work through a structured program that builds practical skills in modifying existing codebases, writing tests, integrating with databases, and collaborating through pull requests.
- Throughout the simulation, I gained practical experience with the technologies and processes that drive software delivery in one of Australia's leading financial institutions.
What I Learned
- .NET Backend Development — modifying C# models, controllers, and services to add new features
- React/Redux Frontend — building UI components, managing state, and integrating with APIs
- Database Integration — connecting to MongoDB Atlas, seeding data, and performing CRUD operations
- API Design & Integration — implementing RESTful endpoints and consuming them from the client
- Testing — writing unit tests to cover critical routes and ensure code quality
- Version Control & Collaboration — branching, committing, pushing, and creating pull requests with clear descriptions
- End-to-End Feature Delivery — taking a feature from requirements to implementation, testing, and deployment
Oracle Agentic AI Certified Foundation Associate
Oracle
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Oracle Agentic AI Certified Foundation Associate
Oracle
About the Certification
- Agentic AI refers to autonomous AI systems that perceive their environment, reason about actions, and execute tasks with minimal human intervention. This certification, offered by Oracle, provides a foundational understanding of how these intelligent agents are architected, deployed, and governed in enterprise settings.
- The program covers the core components of agentic systems — perception, reasoning, planning, and learning — along with the integration of large language models into autonomous workflows. It also explores the ethical frameworks, safety measures, and operational best practices required to deploy agentic AI at scale.
- Throughout the course, I studied real-world use cases across industries such as finance, healthcare, and customer service, where agentic AI is already transforming decision-making and process automation.
What I Learned
- Agentic AI architecture — how autonomous agents are structured and how they interact with their environment
- LLM integration — using large language models as the reasoning engine for agentic systems
- Design patterns for multi-agent coordination and task decomposition
- Evaluation and monitoring — metrics and tools for assessing agent performance in production
- Safety & alignment — ensuring agentic systems behave as intended and remain controllable
- Enterprise deployment — scaling agentic AI across cloud infrastructure with governance guardrails
Tata Young Professional Course Certification
TATA
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Tata Young Professional Course Certification
TATA
About the Certification
- The Tata Young Professional Course is a structured development program designed to prepare early-career professionals for the modern corporate workplace. It goes beyond technical skills, focusing on the professional competencies, business etiquette, and organizational culture that define high-performing teams.
- The curriculum is built around Tata's legacy of ethical business practices and includes modules on communication, leadership, teamwork, problem-solving, and professional ethics. The program also provides exposure to Tata's diverse business verticals and the values that drive the group's global operations.
What I Learned
- Professional communication — articulating ideas clearly in verbal, written, and presentation formats
- Team collaboration — working effectively in cross-functional teams and managing conflicts constructively
- Business etiquette — corporate culture, workplace professionalism, and stakeholder engagement
- Problem-solving frameworks — structured approaches to analyzing complex business problems
- Ethical decision-making — aligning professional choices with organizational values and integrity
- Understanding corporate structure — how large organizations operate and how individuals contribute to business outcomes
Tata Cybersecurity Analyst Job Simulation
TATA
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Tata Cybersecurity Analyst Job Simulation
TATA
About the Certification
- This job simulation from Tata provides hands-on exposure to the role of a cybersecurity analyst in a large enterprise environment. It simulates real-world security operations, including threat detection, vulnerability assessment, incident response, and security monitoring.
- The simulation is built around realistic scenarios — from identifying and classifying security threats to responding to active incidents and communicating findings to stakeholders. It mirrors the workflows and tools used by security operations centres (SOCs) in the industry.
What I Learned
- Threat identification & classification — recognizing and categorizing security threats based on severity and impact
- Vulnerability assessment — scanning systems and applications for weaknesses and prioritizing remediation
- Incident response — following structured procedures to contain, investigate, and recover from security incidents
- Security monitoring — using SIEM tools and log analysis to detect anomalous activity in real time
- Network security fundamentals — understanding protocols, firewalls, and intrusion detection systems
- Reporting & communication — documenting findings and presenting security insights to both technical and non-technical audiences
Deloitte Cyber Job Simulation
Deloitte
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Deloitte Cyber Job Simulation
Deloitte
About the Certification
- Deloitte's Cyber Job Simulation is a practical program designed to give participants a taste of cybersecurity consulting in a global professional services firm. It covers the full lifecycle of a security engagement — from initial assessment and risk analysis to strategy development and client communication.
- The simulation is built on real consulting scenarios, emphasizing the intersection of security, business strategy, and regulatory compliance. Participants work through security assessments, identify gaps, and propose actionable recommendations to improve an organization's security posture.
What I Learned
- Cybersecurity consulting — approaching security from a business and risk-management perspective
- Risk assessment frameworks — applying industry standards such as NIST and ISO to evaluate security controls
- Security strategy development — creating roadmaps for organizations to strengthen their security posture
- Client communication — presenting technical findings and recommendations to executive stakeholders
- Regulatory compliance — understanding how security aligns with legal and industry regulations
- Control evaluation & mitigation — identifying control gaps and proposing cost-effective remediation strategies
NASA Hyperspectral Data for Land & Coastal Systems
NASA
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NASA Hyperspectral Data for Land & Coastal Systems
NASA
About the Certification
- Hyperspectral remote sensing captures hundreds of contiguous spectral bands across the electromagnetic spectrum, enabling detailed identification of materials, vegetation health, water quality, and environmental changes. This NASA-led certification introduces the principles, tools, and applications of hyperspectral data analysis for land and coastal systems.
- The program covers data acquisition from NASA and other Earth observation satellites, preprocessing techniques, and analytical methods for extracting meaningful information. It emphasizes practical applications in environmental monitoring, agriculture, forestry, and coastal zone management.
What I Learned
- Hyperspectral remote sensing principles — how spectral signatures are used to identify materials and surface properties
- Data preprocessing — handling atmospheric correction, radiometric calibration, and geometric rectification
- Land cover classification — using spectral information to map vegetation, urban areas, water bodies, and other land types
- Vegetation health analysis — calculating indices like NDVI and applying them to hyperspectral data
- Coastal & water quality monitoring — detecting changes in water composition, turbidity, and coastal ecosystems
- NASA Earth data tools — working with platforms like EarthData and using open-source tools for hyperspectral analysis
Web Development Bootcamp
Udemy
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Web Development Bootcamp
Udemy
About the Certification
- This comprehensive bootcamp covers the full spectrum of modern web development — from frontend design to backend infrastructure. It is a project-driven program that teaches the fundamentals of building responsive, interactive, and secure web applications using industry-standard tools and frameworks.
- The curriculum includes HTML, CSS, JavaScript, React, Node.js, Express, databases, authentication, and deployment. The emphasis is on practical, hands-on learning through building real projects that mirror real-world development workflows.
What I Learned
- HTML5 & CSS3 — building semantic, accessible, and responsive user interfaces with modern layouts
- JavaScript (ES6+) — core language features, DOM manipulation, asynchronous programming, and APIs
- React.js — component-based architecture, state management, hooks, and routing for interactive single-page applications
- Node.js & Express — building RESTful APIs, middleware, and server-side logic with JavaScript
- Database integration — working with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases
- Authentication & security — implementing user authentication, authorization, and protection against common web vulnerabilities
- Deployment — deploying applications to cloud platforms and managing production environments
Introduction to Data Science
Cisco
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Introduction to Data Science
Cisco
About the Certification
- This introductory course from Cisco covers the fundamentals of data science — from data collection and cleaning to analysis, visualization, and interpretation. It provides a practical foundation for understanding how data-driven insights are generated and applied across industries.
- The curriculum explores the data science lifecycle, statistical concepts, machine learning basics, and the tools used by data scientists. Real-world case studies and hands-on exercises reinforce the concepts and build practical skills for working with data.
What I Learned
- Data science lifecycle — understanding the end-to-end process from problem definition to deployment
- Data collection & cleaning — acquiring data from various sources and preparing it for analysis
- Statistical analysis — descriptive and inferential statistics, hypothesis testing, and correlation analysis
- Data visualization — using charts, graphs, and dashboards to communicate insights effectively
- Machine learning basics — introduction to supervised and unsupervised learning algorithms
- Real-world applications — how data science is applied in business, healthcare, technology, and social sectors
AI, Justice and Rule of Law
University of Oxford
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AI, Justice and Rule of Law
University of Oxford
About the Certification
- This programme from the University of Oxford explores the intersection of artificial intelligence, justice, and the rule of law. It examines how AI systems are being deployed in legal and judicial contexts, the risks they pose to fairness and due process, and the regulatory frameworks needed to ensure accountability and transparency.
- The curriculum draws on Oxford's research in law, ethics, and computer science, providing a multidisciplinary perspective on the governance of AI. Topics include algorithmic bias, explainability, legal liability, and the role of human oversight in automated decision-making systems.
- Throughout the programme, I studied case studies from around the world, including the use of AI in predictive policing, sentencing, asylum decisions, and judicial analytics. The course also covered the emerging principles of "AI ethics by design" and the international efforts to standardise AI regulation.
What I Learned
- AI in the justice system — how machine learning is used in legal prediction, risk assessment, and evidence analysis
- Ethical frameworks — fairness, accountability, and transparency principles applied to AI
- Regulatory approaches — comparing the EU AI Act, GDPR, and other emerging legal standards
- Algorithmic bias — detecting and mitigating discrimination in automated decision-making
- Human oversight — designing systems that keep human judgment at the centre of high‑stakes decisions
- Rule of law considerations — how AI challenges traditional notions of due process, legal certainty, and judicial independence
07 — Contact
Lets connect for professional opportunities, collaborations or technical discussions
omanshu25@gmail.com
+91 87551 18493
Almora, Uttarakhand, India