Headline

AI Engineer @ Handshake | Full Stack & GenAI Engineer | React, FastAPI, LangChain, RAG, Docker | IIIT Sri City ’26 | Actively Seeking SDE & AI/ML Roles

About

I'm a 2026 ECE graduate from IIIT Sri City who builds AI products end to end: the model, the API, and the interface people actually use. While building student dashboards and AI chat screens at Saarthi.ai, then evaluating LLMs for security and ML tasks at Handshake, I saw that reliability, not the demo, decides whether AI ships. That shapes what I build: • Defence RAG System: Gemini 2.5 Flash + ChromaDB answers policy questions with page-level citations, tracked with retrieval precision, MRR and hallucination checks • Agriconnect: crop-disease detection with MobileNetV2 + EfficientNet-B4 at 85%+ accuracy; consensus inference cut false positives by 25%; Gemini treatment advice in under 2 seconds • NextFlow: MERN productivity platform with JWT auth, REST APIs and real-time collaboration Stack: Python, JavaScript, React, Next.js, Node.js, FastAPI, LangChain, LangGraph, PyTorch, MongoDB. I'm looking for a full-time AI Engineer or Full-Stack role (Hyderabad, Bengaluru, anywhere in india and remote in India). Email me: kurapatiraghavendra@gmail.com Here my portfolio. https://raghavendrak04.github.io/raghavendrak04/

Location

Hyderabad

AI stack

antigravity

claude code

codex

cursor

hugging face

Bolt.new

Work experience

Freelance at Deccan AI Experts, May 2026 - Present · 7 mos, Remote, - Robotics Data Collection: Curated and processed high-quality video datasets for training embodied AI and robotics models, supporting the development of robust reinforcement learning (RL) environments. - Agent Benchmarking & Evaluation: Evaluated autonomous AI agents and Large Language Models (LLMs) using Terminal-Bench to assess real-world coding and instruction-following capabilities. - Scalable Pipeline Engineering: Leveraged the Harbor framework to deploy and scale agent evaluations within isolated containerized environments, optimizing the benchmarking workflows.

Artificial Intelligence Engineer at Handshake, Mar 2026 - Present · 9 mos, Remote, Spearheaded AI Benchmarking: Developed and evaluated complex, high-quality tasks for Project Dynamo, directly contributing to the assessment and advancement of Large Language Models (LLMs) and autonomous AI agents. Pipeline Engineering: Designed and implemented robust submission evaluation pipelines, leveraging deep expertise in Docker configurations to ensure scalable, isolated, and reproducible testing environments. Advanced Evaluation Metrics: Formulated rigorous evaluation criteria to test state-of-the-art generative models on reasoning, coding, and complex instruction-following capabilities. Systems Architecture: Applied core software engineering principles and full-stack knowledge to build and optimize data pipelines, ensuring low latency and high accuracy in AI model assessments.

Education

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Indian Institute of Information Technology, SriCity

Public links

github: https://github.com/raghavendrak04

raghavendrak04.github.io: https://raghavendrak04.github.io/raghavendrak04/