UDAY KANT

AI Engineer

https://www.opentalent.in/uday-kant

AI Engineer with less than a year in AI/ML, RAG pipelines, and full-stack development, seeking an AI

Key Strengths

Strong foundational knowledge in AI/ML engineering, RAG pipelines, and LLM integration, demonstrated through personal projects.
Proficiency in Python and JavaScript, essential for AI/ML and full-stack development.
Experience with key AI/ML frameworks and libraries including LangChain, FAISS, Vector Embeddings, and Prompt Engineering.
Practical application of RAG architecture for context-aware and hallucination-reduced responses in the Medical RAG Chatbot.
Experience with prompt engineering for adaptive AI interactions and performance optimization (100% Lighthouse score) in the CodeBlitz project.
Solid understanding of data structures and algorithms (300+ DSA problems solved) which is crucial for optimizing AI models and systems.
Exposure to DevOps tools like Docker and Kubernetes, indicating an understanding of deployment and scaling AI applications.
Active participation in competitive programming and open-source contributions (GSSOC 2025) demonstrates a proactive learning attitude and problem-solving skills.

Cultural & Operational Fit

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.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

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 Project

CodeBlitz - 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.

Certifications

Generative AI Training (30 hrs)

NIT CSE Dept.

February 1, 2026 – Present

MEAN Full Stack Web Dev (36 hrs)

IALSD

August 1, 2025 – Present

SAP S/4HANA Development

SAP University Alliances

August 1, 2025 – Present

Programming in Java - Elite 87%

NPTEL IIT Kharagpur

July 1, 2025 – Present

Key Strengths

Strong foundational knowledge in AI/ML engineering, RAG pipelines, and LLM integration, demonstrated through personal projects.
Proficiency in Python and JavaScript, essential for AI/ML and full-stack development.
Experience with key AI/ML frameworks and libraries including LangChain, FAISS, Vector Embeddings, and Prompt Engineering.
Practical application of RAG architecture for context-aware and hallucination-reduced responses in the Medical RAG Chatbot.
Experience with prompt engineering for adaptive AI interactions and performance optimization (100% Lighthouse score) in the CodeBlitz project.
Solid understanding of data structures and algorithms (300+ DSA problems solved) which is crucial for optimizing AI models and systems.
Exposure to DevOps tools like Docker and Kubernetes, indicating an understanding of deployment and scaling AI applications.
Active participation in competitive programming and open-source contributions (GSSOC 2025) demonstrates a proactive learning attitude and problem-solving skills.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

UDAY KANT

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit