Full Stack Engineer with less than a year in AI and Full Stack Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Full Stack Developer Intern with 1 month of experience in building and deploying RESTful APIs using Node.js, Express, and MongoDB. Proven ability to optimize database queries, implement robust authentication systems (JWT), and develop production-ready UI/UX components. Actively involved in AI/ML projects, including hybrid RAG systems, multi-agent AI for market analysis, and NLP pipelines for recruitment intelligence. Proficient in a wide array of technologies from JavaScript, Python, and TypeScript to FastAPI, PostgreSQL, and various LLMs, ready to contribute to innovative software and AI solutions.
Indian Institute of Technology (IIT) Patna
Minor · Generative AI & Machine Learning
N/A – June 30, 2026
Thapar Institute of Engineering & Technology
B.Tech · Computer Engineering
N/A – June 30, 2027
Warewe Consultancy
Full Stack Developer Intern
June 1, 2025 – July 31, 2025
Gurgaon, Haryana, India
Zidio Development
Full Stack Developer Intern
May 1, 2025 – June 30, 2025
India
DocuQuery - Multi-Tenant SaaS RAG Platform
January 1, 2024 – June 1, 2026
Built production-grade RAG system with 1024-dim Cohere embeddings, pgvector IVFFlat indexing for sub-100ms semantic retrieval; full PDF, DOCX, TXT ingestion pipeline with chunking and overlap. Designed multi-workspace SaaS architecture with Row Level Security (RLS), JWT authentication, and role-based access control (Owner/Admin/Member).
View ProjectHireAI - GenAI-Powered Recruitment Intelligence Platform
January 1, 2024 – June 1, 2026
Built end-to-end NLP pipeline using TF-IDF vectorization and cosine similarity for semantic resume-to-job-description matching; integrated LLM for explainable skill gap analysis and HIRE/CONSIDER/REJECT recommendations.
View ProjectBizIntel AI - Hybrid RAG Business Intelligence System
January 1, 2024 – June 1, 2026
Engineered hybrid RAG pipeline combining FAISS semantic search (40%), BM25 keyword retrieval (30%), and Neo4j graph traversal (30%) with entity-match boost; unified 3 retrieval strategies into a single FastAPI endpoint. Built multi-agent AI system for market analysis and document intelligence with LLM-powered decision support and source attribution.
View ProjectRAG Email Classifier
January 1, 2024 – June 1, 2026
Gmail trigger → vector similarity search (Supabase) → LLM response generation → automated reply + Telegram routing for support tickets.
View ProjectHackTrack - AI Hackathon Discovery & Team Formation
January 1, 2024 – June 1, 2026
Implemented semantic teammate search using Sentence-BERT (384-dim embeddings) and cosine similarity; aggregated 500+ hackathons from Devpost, MLH, CList with deduplication and real-time Socket.io chat.
View ProjectMulti-Agent AI Assistant
January 1, 2024 – June 1, 2026
Orchestrated specialized AI agents for email handling, content creation, and productivity via intent-based routing and context sharing.
View ProjectHuman-in-the-Loop CRM
January 1, 2024 – June 1, 2026
AI drafts sales emails → human approval/rejection loop → LLM rewrite on feedback → automated Gmail delivery via Google Sheets + Gemini.
View ProjectCultural Fit Analysis
The candidate's extensive personal projects, particularly in the GenAI and RAG space, indicate a strong passion for technology and continuous learning, which is a positive cultural fit for innovative and fast-paced environments. The diversity of projects, from business intelligence to recruitment platforms and hackathon tools, shows a broad interest and ability to apply technical skills to various domains. While the experience is primarily academic and personal, the depth of technical engagement suggests a proactive and self-driven individual.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through a diverse portfolio of complex personal projects. Their ability to work with cutting-edge AI technologies and integrate multiple systems suggests adaptability and a proactive learning approach. The project descriptions indicate an understanding of full-stack development principles and system architecture, which aligns well with an operational role requiring end-to-end development capabilities.