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AI Engineer with 4+ years in React, Node.js, and Generative AI
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Assessing your cultural and operational fit
Senior Full Stack & GenAI Engineer with 4+ years of experience building scalable enterprise web applications and AI-powered solutions. Expert in React.js, Node.js, Python, MERN Stack, and Generative AI frameworks including LangChain, LangGraph, RAG, GraphRAG, and multi-agent systems. Hands-on experience integrating and fine-tuning LLMs (Gemini, OpenAI, LLAMA, Hugging Face) into production applications, designing agentic AI workflows, vector database pipelines, and full-stack AI features. Proven track record in fintech, healthcare, social, and enterprise domains with strong focus on performance optimisation, clean architecture, and measurable delivery.
Meerut Institute of Engineering and Technology, Meerut
Bachelor of Technology · Information Technology
N/A – June 30, 2022
SyanSoft Technologies Pvt Ltd
Senior Full Stack & GenAI Engineer
April 1, 2025 – Present
India
Triazine Software, Noida
MEAN / Angular / React Developer
October 1, 2022 – January 1, 2025
Noida, Uttar Pradesh, India
Ongraph Technologies Pvt Ltd
Software Engineer / Frontend Developer
June 1, 2022 – September 1, 2022
India
RipenApps
MEAN Stack Developer
August 1, 2021 – June 1, 2022
India
AI Chatbot with RAG & Gemini Integration
June 30, 2026 – Present
• Built a production-ready AI chatbot using Google Gemini API and LangChain with a complete RAG pipeline: document ingestion, chunking, embedding generation, and vector search via Pinecone for contextual document understanding. • Implemented Langchain based multiagent orchestration enabling the bot to route queries, invoke tools, and coordinate across planner/executor/critic agents for complex multi-hop Q&A tasks. • Designed LLM-as-judge evaluation pipelines with scoring rubrics calibrated against human labels to measure and iteratively improve response quality; applied prompt compression to reduce token spend. • Built React.js frontend with server-sent event streaming and Node.js/FastAPI backend; deployed with Docker and CI/CD pipelines.
GraphRAG Knowledge Retrieval System
June 30, 2026 – Present
• Designed a GraphRAG pipeline on a Neo4j knowledge graph enabling multi-hop reasoning over entity relationships for enterprise document search; implemented incremental entity extraction to keep the graph updated as new documents arrived. • Implemented hybrid retrieval (vector + graph) using LangChain and ChromaDB, improving retrieval precision by 55% over standard RAG; built interactive React.js dashboard for query interface and result visualisation.
Multi-Agent AI Workflow Automation
June 30, 2026 – Present
• Architected a multi-agent system using LangGraph with specialised agents (planner, executor, critic) for automated business process workflows; implemented conditional edges and error propagation guards to prevent infinite agent loops. • Designed and deployed AWS Bedrock-powered agent workflows using Claude models, enabling dynamic task planning, tool calling, and multi-step reasoning while maintaining enterprise-grade security, scalability, and cost governance.
Ayaan Finserv – Gold Loan System
June 30, 2026 – Present
• Developed gold valuation algorithm, real-time rate update feeds, and secure payment processing with Razorpay; implemented JWT-secured APIs and Redis caching achieving sub-100ms response times for high-frequency financial data.
BotshLove Dating App & Servivet Booking Platform
June 30, 2026 – Present
• Built Tinder-like matchmaking platform with real-time chat and swipe features; designed optimistic UI updates for instant like/match feedback while backend calls were in-flight. • Built Servivet full-stack service booking with slot management, location filtering, and payment processing using Next.js for SSR/SEO; containerised with Docker.
Coding Ninjas Python Certification
Coding Ninjas
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Engineer role, particularly in an innovative and fast-paced environment. Their project diversity spans fintech, social, and enterprise domains, showcasing adaptability. The breadth of skills, from full-stack development to advanced AI/ML concepts, indicates a continuous learning mindset and a willingness to tackle varied technical challenges. The experience with multi-agent systems and complex workflow automation aligns well with roles requiring sophisticated problem-solving and system design.
Soft Skills & Operational Fit
The candidate's project descriptions highlight leadership in development, problem-solving (e.g., improving retrieval precision, reducing manual effort, optimizing response times), and a focus on measurable outcomes. This indicates strong operational fit and a proactive approach to engineering challenges. The detailed descriptions of multi-agent orchestration and LLM-as-judge evaluation pipelines suggest a methodical and quality-oriented mindset.