I build backend platforms, full-stack products, applied AI systems and security-focused software with an emphasis on measurable performance, reliability, auditability and production-minded engineering.
I enjoy working on software where backend engineering, applied AI and security intersect with real product problems.
What interests me most is not simply getting something to work. I like to understand:
why it works, where it can fail, how it behaves under load and what would make it easier to trust.
That usually leads me toward problems involving APIs, distributed services, intelligent systems, security controls, data pipelines, testing and performance optimization.
- π’ Building backend and cloud-ready applications at Deloitte India
- π°οΈ Worked at DRDO CAIR, Bengaluru on vessel forecasting, semantic retrieval and RAG-based intelligence workflows
- βοΈ Build across Java, Python, JavaScript, Spring Boot, FastAPI, React, PostgreSQL, MySQL, Redis and Docker
- π€ Explore RAG, LLM applications, multi-agent systems, Google ADK, MCP, Azure AI Foundry and retrieval systems
- π Interested in threat intelligence, secure APIs, attack graphs, RBAC, TLS/mTLS, X.509, YARA and auditable AI
- π§ Strong foundations in DSA, complexity analysis, OOP, DBMS, HLD, LLD, caching, API design and service decomposition
- π Filed Indian Patent Application No. 202511108091 A for intelligent real-time traffic signal management
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Backend services, APIs, authentication, caching, database-backed applications, automated testing and modular software architectures. |
Applications using React with Spring Boot, FastAPI, Node.js, relational databases and secure user workflows. |
RAG pipelines, multi-agent systems, semantic retrieval, forecasting, evaluation, guardrails and explainable AI workflows. |
Threat intelligence, secure APIs, attack graphs, TLS/mTLS, RBAC, vulnerability analysis, prompt-injection defence and auditability. |
Java Python C++ C JavaScript SQL
Spring Boot FastAPI Node.js Express.js
REST APIs WebSockets JWT RBAC
React.js HTML5 CSS3
MySQL PostgreSQL Redis ChromaDB Vector Retrieval
Google ADK Model Context Protocol Azure AI Foundry
RAG LLM Applications Multi-Agent Systems
LSTM Kalman Filters SentenceTransformers
JUnit Mockito pytest Docker Docker Compose
CI/CD GitHub Actions Microsoft Azure
Data Structures & Algorithms Complexity Analysis OOP DBMS
Operating Systems Computer Networks
Microsoft Agents League Β· Reasoning Agents Track
- Coordinates 5 specialized reasoning agents
- Integrates Foundry IQ, Fabric IQ and Work IQ
- Generates role-aligned certification paths
- Creates work-aware study schedules
- Runs grounded assessments with citations
- Records decision traces and guardrail audits
Peer-to-Peer Skill Exchange Platform
- User authentication and authorization
- Skill discovery and listings
- Peer-to-peer exchange workflows
- MongoDB-backed persistence
- REST API architecture
- JWT-secured sessions
Platform Development Integration & Cloud Management Services Intern
Virtual: Jan β Jun 2026 Β· Onsite: Jun 2026 β Present
- Engineered EventZen independently during a six-week capstone
- Implemented 24 REST endpoints across 6 functional modules
- Earned a 97/100 mentor evaluation
- Added DTO-based validation and centralized exception handling
- Secured workflows using JWT, BCrypt and RBAC
- Verified booking correctness with JUnit 5 + Mockito
- Packaged the frontend, backend and MySQL using Docker Compose
- Completed hands-on training across C#/.NET, ASP.NET, SQL Server, REST APIs, Git/CI/CD, unit testing, OOP, DSA, debugging and AWS EC2
Machine Learning Intern
Jun 2025 β Jul 2025
- Built a multi-horizon LSTM vessel-trajectory forecasting pipeline
- Applied constant-velocity Kalman filtering
- Generated forecasts at 24, 48 and 72-hour horizons
- Built semantic retrieval using SentenceTransformers + ChromaDB
- Queried forecasts using Mistral/Ollama
- Connected forecasting with RAG-based natural-language retrieval
π Only non-confidential technical scope is described.
Java Development Intern
- Built a TCP client-server chat application
- Implemented concurrent workflows
- Developed a Java Swing Notepad
- Built file encryption/decryption workflows
- Implemented password-strength tooling
- Created OOP-driven Java applications
| Achievement | Related Work |
|---|---|
| π Indian Patent Application No. 202511108091 A | MARL Traffic Management |
| π₯ Semi-Finalist Β· The Economic Times AI Hackathon 2026 | GenAI Atlas |
| π Top 50 National Finalist Β· AI for Bharat Hackathon 2026 | TrustID |
| π€ Google AI Agents Intensive Capstone | VendorGuard AI |
| π§ Microsoft Agents League 2026 | Reasoning Agent |
Software Engineering Β· Backend Engineering Β· Full-Stack Engineering Β· Platform Engineering Β· Applied AI Β· AI/ML Engineering Β· Cybersecurity
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π Lucknow, India



