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Nikhil Rai

Open to work1 years experience

Full-Stack Software Engineer

Faridabad, HaryanaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Full-Stack Software Engineer specializing in Generative AI, RAG pipelines, and LLM-powered applications.

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

41 skills
pythonjavascripttypescriptjavasqlllmsragprompt engineeringlangchainlanggraphlangsmithnlpocrfaisschromadbagentic aireact.jsnext.jsnode.jsfastapiredux toolkitrest apismicroservicespostgresqlmongodbmysqloracle sqlredissqlitedockergitgithubci/cdawskubernetesdsasystem designoopdbmsoscomputer networks

Work Experience

Software Engineer

JES Electronics System

Nov 2025 - Present Not specified
  • Architected a production rack-wise image monitoring platform with transaction-safe APIs, real-time health dashboards, and metadata indexing — improving operational visibility and fault tolerance for large-scale image workloads.
  • Delivered backend microservices for a railway Passenger Information System (IPIS) using CDC polling and resilient REST APIs, ensuring zero-downtime train data propagation across distributed display boards.
  • Designed and deployed an HR RAG chatbot that resolves HR policy queries, onboarding FAQs, and help manual requests in real time — eliminating repetitive HR queries and reducing team response load.
  • Containerized the full service stack with Docker, enabling one-command portable deployment across heterogeneous railway infrastructure.

Software Engineer Intern

Indian Oil Corporation Limited (IOCL)

Jan 2025 - Jun 2025 Not specified
  • Engineered a full-stack enterprise document search engine for internal teams, significantly reducing document retrieval time and improving cross-department accessibility .
  • Delivered an OCR + NLP ingestion pipeline with lemmatization and tokenized indexing, achieving 95%+ search accuracy with inline PDF previews for instant content validation.
  • Automated an Excel-to-Oracle SQL ETL pipeline with robust validation logic, achieving 98% error-free uploads and cutting manual data entry effort by 80%.

Projects

DocuMind — Enterprise RAG Chatbot

View Project
FastAPILangGraphChromaDBRedisCeleryNext.js
  • Built a production-ready enterprise RAG chatbot with JWT-based RBAC, async PDF ingestion via Celery + Redis workers, and real-time answer streaming via Server-Sent Events — fully Dockerized.
  • Achieved hallucination-resistant answers via a 3-stage retrieval pipeline: ChromaDB semantic search (HuggingFace embeddings) + BM25Okapi lexical search + Cross-Encoder reranking, powered by DeepSeek LLM.
  • Engineered a LangGraph query-rewriting loop with multi-attempt retrieval fallback, Redis caching, and SQLite chat history for high accuracy on complex enterprise documents.

Multi-Agent YouTube Content Engine

View Project
PythonLangGraphLangChainFAISSRAGTavily
  • Built a LangGraph multi-agent system that ingests any YouTube URL as RAG context, enablingautomated Q&A, summarization, and AI blog generation via router → research → orchestration → worker → reducer pipeline.
  • Integrated open/closed/hybrid LLM routing, FAISS vector store, Tavily web search, and DeepSeek API for dynamic image generation and auto-formatted Markdown output.

CareerOnDoor — Job & Internship Portal

View Project
Next.jsTypeScriptMongoDBRedisDocker
  • Built a full-stack job portal (Next.js, TypeScript, Node.js, MongoDB) with OTP auth, Redux Toolkit + Persiststate management, Redis rate limiting, admin dashboard, and Dockerized deployment.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

LeetCode Rating

LeetCode Rating: 1690+ | 800+ DSA problems solved

Generative AI & Agentic AI Certification

Generative AI & Agentic AI – CampusX

About Details

Professional Bio

Full-Stack Software Engineer specializing in Generative AI, RAG pipelines, and LLM-powered applications. Proficient in Next.js, React, Node.js, Python, FastAPI, and SQL/NoSQL databases with a track record of shipping production-grade AI systems and scalable backend solutions.

B.Tech in Computer Science Engineering (Data Science Specialization) in Computer Science Engineering

J. C. Bose University of Science & Technology, YMCA Faridabad, India (2021 - 2025)

Languages: English, Hindi
Email: Locked