AI Product Engineering
From prompt strategy to orchestration, retrieval, and deployment, I build AI products with real application architecture around them.
Bareilly, Uttar Pradesh, India
Full-Stack Engineer / AI Systems Developer / Backend Engineer
Building intelligent products with a premium backend core.
Results-driven Full-Stack and AI Engineer building LLM-powered applications, RAG pipelines, agentic systems, and scalable production infrastructure. I design systems that feel sharp on the surface and solid underneath: interfaces, APIs, retrieval, queues, auth, deployment, and the details that make products believable.
LLM-powered applicationsRAG pipelinesAgentic systemsScalable production infrastructure
01Positioning
Built for modern product teams
A profile shaped by real AI builds, backend ownership, and the ability to move from prototype excitement to production discipline.
Why this portfolio is different
I do not treat AI as a bolt-on feature. I build the full system around it: retrieval quality, security, data flow, orchestration, user experience, and the operational choices that make the product resilient.
That means cleaner handoffs between frontend and backend, fewer brittle shortcuts, and products that can keep scaling after the demo moment.
Retrieval and Knowledge Systems
I design hybrid retrieval flows that blend vector search, graph traversal, chunking strategies, and grounded response pipelines.
Full-Stack Delivery
I ship interfaces, APIs, queues, auth, billing, and infrastructure as one cohesive system instead of isolated prototypes.
Security-Aware Thinking
Cybersecurity simulation work sharpened my instincts around risk exposure, phishing vectors, and operational resilience.
Profile Snapshot
- Role
- Full-Stack Engineer / AI Systems Developer / Backend Engineer
- Location
- Bareilly, Uttar Pradesh, India
- Education
- B.Tech in Computer Science and Engineering, Lovely Professional University
- Details
- Aug 2022 - Present / CGPA 8.67
Working Style
Strong at taking ownership end to end
Comfortable in ambiguous, technical product spaces
Confident with APIs, infra, and interface quality
Equally interested in speed, correctness, and polish
02Experience
Proof of applied thinking
These roles were simulation-based experiences through Forage, and they added practical exposure to finance operations and security decision-making.
Forage job simulationOct 2025 - Apr 2026
Operations Simulation Analyst
Goldman Sachs
- Completed Goldman Sachs' Operations Job Simulation with practical exposure to trading settlements, client services operations, and institutional finance workflows.
- Worked through the end-to-end lifecycle behind ultra-high net worth transactions with a focus on process accuracy and risk management.
- Developed hands-on familiarity with operational risk, transaction lifecycle design, and execution discipline in finance-heavy environments.
Forage job simulationAug 2025 - Apr 2026
Cybersecurity Simulation Analyst
Mastercard
- Completed Mastercard's Cybersecurity Job Simulation and designed a realistic phishing email exercise to surface vulnerability patterns.
- Interpreted outcomes to assess organisational risk exposure and the gaps that security awareness programs need to address.
- Strengthened practical instincts around phishing attack vectors, threat simulation design, and measurable risk reduction.
03Selected Work
Products with real systems underneath
Three builds that best represent how I think: strong architecture choices, product clarity, and enough technical depth to hold up in production.
01 / Nov 2025 - Jan 2026
KG-RAG
Knowledge Graph RAG Application
An end-to-end knowledge retrieval system that ingests PDFs, extracts entities and relationships, and answers with grounded, citation-backed responses.
- Built a PDF extraction and sliding-window chunking pipeline that feeds concurrent NER and embedding jobs with Gemini 2.5 Flash.
- Stored entities and relationships in Neo4j AuraDB while indexing semantic chunks in Supabase pgvector with IVFFlat ANN search.
- Combined cosine similarity with BFS graph traversal to synthesize context-rich answers rather than relying on vector retrieval alone.
FastAPIReactTypeScriptNeo4j AuraDBSupabase pgvectorGemini 2.5 FlashDockerTailwind CSS
02 / Jan 2025 - Mar 2026
Context Passport
Universal AI Session Handoff System
A Chrome extension and backend flow for compressing, encrypting, and transferring AI conversation state across multiple platforms.
- Scraped conversation DOM across Claude, ChatGPT, Gemini, Perplexity, Copilot, and Grok using platform-specific content scripts plus MutationObserver.
- Compressed raw history into a structured session passport via Claude API, encrypted it with AES-256-GCM, and persisted it to Firestore.
- Enabled one-click context injection into a fresh AI session so long-running work can move between tools without manual copy-paste.
Chrome Extension MV3ReactTypeScriptNode.jsFirebase AuthFirestoreAES-256-GCMClaude APIRedisBullMQ
03 / Feb 2026 - Apr 2026
AI Blind Spot Detector
Adversarial AI Analysis Platform
A freemium SaaS that stress-tests user ideas with adversarial prompting, ranked assumptions, expert personas, and streaming reports.
- Built a BullMQ-driven asynchronous pipeline that sends multi-pass adversarial prompts to Claude and ranks blind spots by severity.
- Shipped Stripe Checkout, JWT plus argon2 authentication, SSE streaming, Redis caching, and an opinionated user experience around long-form reasoning.
- Optimized non-AI endpoints to p99 below 200ms and pushed the product above 90 Lighthouse while keeping the system production-friendly.
Next.js 14FastifyPostgreSQLPrismaRedisBullMQClaude APIStripeTanStack QueryZustandGitHub Actions
04Technical Stack
The tools I build with
A modern stack shaped around product shipping, AI workflows, and backend reliability.
Languages
PythonTypeScriptJavaScriptGoSQLHTML5CSS3Sass
Frontend
ReactNext.js 14Tailwind CSSZustandTanStack QueryFramer Motion
Backend and APIs
FastAPIFastifyNode.jsExpressRESTGraphQLSSEOAuth 2.0
AI and ML
Claude APIGemini APIRAG PipelinesKnowledge GraphsVector SearchNERPrompt Engineering
Databases and Infra
PostgreSQLSupabaseNeo4jRedispgvectorPrismaFirebaseDockerVercelRailway
DevOps and Tooling
GitHub ActionsCI/CDStripeJWT AuthChrome Extensions (MV3)Vite
Education
Strong fundamentals, current momentum.
B.Tech in Computer Science and Engineering, Lovely Professional University
Aug 2022 - Present / CGPA 8.67
Certifications
Foundations of Data Structures and Algorithms Specialization
Programming in C++: A Hands-on Introduction Specialization
Digital Forensics Essentials (DFE) - EC-Council
Ethical Hacking Essentials (EHE) - EC-Council
Data Analyst - SAP Analytics Cloud
05Contact
Let's build something sharp
If you need someone who can think through AI systems, backend structure, and product polish at the same time, we should talk.