Kartik Rajput

AI/ML Engineer | LLM Specialist | Backend Developer

Chennai, IN.

About

Highly motivated Computer Science Graduate with hands-on experience in AI evaluation, backend development, and LLM-based applications, targeting entry-level AI/ML engineering roles. Proven ability to build production-ready AI systems, including RAG-based research assistants, local LLM workflows, and edge AI deployments, demonstrating a strong interest in reliable and scalable AI solutions.

Work

Deccan AI

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AI Systems Evaluator

remote, ,

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Summary

Evaluated and refined AI models and datasets, contributing to the development of high-quality generative AI systems and improving instruction-following quality.

Highlights

Enhanced generative AI dataset quality by leveraging AI annotation and evaluation frameworks for supervised fine-tuning and preference optimization.

Improved Large Language Model alignment by applying Reinforcement Learning from Human Feedback (RLHF), evaluating and ranking hundreds of AI-generated responses for increased instruction-following and conversational consistency.

Streamlined modern LLM training workflows through collaborative iterative model feedback loops, encompassing prompt testing, comparative response analysis, and alignment scoring.

SRM Institute of Science and Technology

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Project Lead, AI & Open Source Initiatives

Chennai, Tamil Nadu, India

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Summary

Led collaborative AI development projects focused on LLM applications and backend systems, fostering technical skill development within student teams.

Highlights

Directed collaborative AI development projects, focusing on LLM applications and backend systems, utilizing FastAPI and LangChain for real-world AI workflows.

Coordinated project planning, GitHub-based collaboration, and task management for multiple student development teams during hackathons and technical initiatives.

Education

SRM Institute Of Science and Technology

Chennai, Tamil Nadu, India
B.Tech Computer Science Engineering Grade: 8.00

Courses

Data Structures & Algorithms

OOPs

Machine Learning

Calculus

Certificates

AI Fluency: Framework & Foundations

Anthropic Academy

Prompt Engineering

Anthropic Academy

MCP Fundamentals

Anthropic Academy

Introduction to Model Context Protocol

Anthropic Academy

AI Foundations

OpenAI Academy

Prompt Engineering for Developers

OpenAI Academy

Skills

Languages

Python, C++, TypeScript.

AI/ML Frameworks

PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers, LangChain, LangGraph, LlamaIndex.

Backend

FastAPI, Flask, Node.js, REST APIs.

Databases/Vector Stores

ChromaDB, PostgreSQL, SQL, Vector Search.

Deployment

Docker, Azure, Local LLM Inference.

Tools/Technologies

Git, Postman, Jupyter Notebook, NeoVim, Ollama, ONNX Runtime.

Projects

FluentForm - Edge-Deployed AI Pronunciation Coach

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Summary

Built an AI pronunciation coach leveraging Microsoft Azure Cognitive Services to provide real-time multilingual feedback.

ResearchMind - AI Research Copilot

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Summary

Developed a RAG-based AI research assistant for processing PDF documents, generating embeddings, and answering contextual queries using semantic search pipelines.