Aspiring AI/ML Engineer | Data Scientist | Former AI Intern @ AtBlink | Python | LLMs, RAG, Agentic AI, & Machine Learning

Hyderabad








Bachelor of Technology, Information Technology
SESHADRI RAO GUDLAVALLERU ENGINEERING COLLEGE
Electronics and instrumentation
A. A. N. M. & V. V. R. S. R. Polytechnic College
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Download Tal BossAspiring AI/ML Engineer | Data Scientist | Former AI Intern @ AtBlink | Python | LLMs, RAG, Agentic AI, & Machine Learning
I’m an AI/ML Engineer and Full-Stack Developer passionate about building practical AI solutions that solve real-world problems. My experience spans Generative AI, Agentic AI, LLMs, RAG, LangChain, LangGraph, FastAPI, Python, and full-stack development. I enjoy taking ideas from concept to production by combining AI models with scalable backend systems and intuitive user experiences. I’ve worked on projects involving RAG-based automation, AI-powered SDLC, intelligent SQL automation, multi-agent systems, and AI-driven platforms, using technologies such as Python, Java, FastAPI, PostgreSQL, MongoDB, Hugging Face, AWS Bedrock, Groq, and Docker. I’m also passionate about DSA and problem solving, with 200+ problems solved on LeetCode, while continuously improving my software engineering fundamentals. 🚀 What I’m focused on: • Generative AI & LLM Applications • Agentic AI & Multi-Agent Systems • RAG & AI Automation • Machine Learning & Data Science • Backend & Full-Stack Development • Building scalable, production-ready AI products I’m always curious, continuously learning, and looking for opportunities to build impactful AI products, solve challenging problems, and grow with innovative teams.
Gudlavalleru
antigravity
claude code
github copilot
langchain
langgraph
langsmith
Artificial Intelligence Intern at AtBlink, Jan 2026 - Jun 2026 · 6 mos, Hyderabad, Built a Retrieval-Augmented Generation (RAG) pipeline for automated medical document processing, improving information retrieval accuracy and reducing manual review time. • Developed and deployed n8n automation workflows to integrate multiple systems, streamlining end-to-end AI-driven data pipelines. • Applied prompt engineering and LLM best practices to real-world healthcare AI applications, ensuring reliable and accurate outputs
Internship Trainee at SmartInternz, May 2024 - Jun 2024 · 2 mos, "As a Machine Learning Intern at Smart Internz!! I have the opportunity to work on cutting-edge AI projects that are transforming the way businesses operate. My role involves developing and implementing machine learning models, conducting data analysis, and optimizing algorithms to solve complex problems.
Bachelor of Technology, Information Technology, SESHADRI RAO GUDLAVALLERU ENGINEERING COLLEGE
Electronics and instrumentation, A. A. N. M. & V. V. R. S. R. Polytechnic College