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AI Engineer with less than a year in AI/ML, RAG pipelines, and full-stack development, seeking an AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science undergraduate (CGPA: 9.05/10, Top 5% of batch) with hands-on experience in AI/ML engineering, RAG pipelines, LLM integration, and full-stack development. Proficient in Python, JavaScript, React, Docker, and Kubernetes with 300+ DSA problems solved across competitive platforms.
Narula Institute of Technology
B.Tech · Computer Science
August 1, 2023 – June 30, 2027
BNS DAV Public School
CBSE
N/A – May 31, 2022
Medical RAG Chatbot
June 22, 2026 – Present
Built a medical QA chatbot using RAG on the MedQuAD dataset (16,000+ curated QA pairs) for context-aware, hallucination-reduced responses. Engineered semantic search with FAISS vector store and dense embeddings via LangChain, enabling sub-second retrieval from a large medical corpus. Integrated Gemini 2.5 Flash LLM with an external knowledge base, grounding outputs in verified medical literature for improved factual accuracy.
View ProjectCodeBlitz - AI Learning Assistant
June 22, 2026 – Present
Developed a Chrome Extension running adaptive AI mock interviews on LeetCode across 2,500+ problems and 20+ algorithm categories. Leveraged Gemini API with prompt engineering to deliver context-aware hints and assess understanding of algorithms and time/space complexity. Migrated API key handling to background service workers, eliminating client-side exposure; achieved 100% Lighthouse performance score via Vite optimization.
Generative AI Training (30 hrs)
NIT CSE Dept.
February 1, 2026 – Present
SAP S/4HANA Development
SAP University Alliances
August 1, 2025 – Present
MEAN Full Stack Web Dev (36 hrs)
IALSD
August 1, 2025 – Present
Programming in Java - Elite 87%
NPTEL IIT Kharagpur
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including a medical chatbot and an AI learning assistant, shows a broad interest in applying AI to different domains. Their involvement in competitive programming, open-source, and leadership roles indicates a proactive, continuous learning mindset and a willingness to contribute beyond academic requirements. This aligns well with a culture that values innovation, problem-solving, and self-improvement. The candidate's early career stage and focus on personal projects suggest a high degree of intrinsic motivation.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and self-direction through personal projects and competitive programming. Their ability to lead a quiz competition suggests organizational and teamwork skills. The focus on performance optimization (100% Lighthouse score) indicates attention to detail and a results-oriented mindset. Participation in hackathons and open-source contributions points to adaptability and a collaborative spirit.