Aspiring AI/Software Engineer | Skilled in LLMs, RAG, Machine Learning, Python & FastAPI | Building AI-Powered Real-World Applications


Bachelor of Technology - BTech, Computer Science
VIT Bhopal University
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Download Tal BossAspiring AI/Software Engineer | Skilled in LLMs, RAG, Machine Learning, Python & FastAPI | Building AI-Powered Real-World Applications
I'm a Computer Science student at VIT Bhopal, and my goal is to develop intelligent systems by harnessing the power of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and state-of-the-art backend development. My expertise revolves around creating AI-driven applications that integrate: LLM pipelines (ChatGPT, LLaMA, Mistral) RAG frameworks with vector databases Machine learning pipelines API-based backend development with Python & FastAPI Cloud-compatible deployments using Docker & AWS I am committed to using good architecture, having a deep understanding of algorithms, and the right product-driven engineering mindset to solve real-world problems. In projects and as part of a group, I usually take charge of leading the problem breakdown, model integration, and backend APIs. Right now, I am interested in full-time job opportunities (2025) in: AI/ML Engineer Software Engineer (Backend/AI) GenAI Engineer Data Engineer (Entry-Level) Collaborating with you would be great if you are working on something exciting in the AI or software sphere.
Vidisha
Intern at SMART BRIDGE, Nov 2025 - Jan 2026 · 3 mos, • Developed proof-of-concept Retrieval-Augmented Generation (RAG) pipelines using Google Cloud Vertex AI to ground LLMs in domain-specific datasets. • Integrated Gemini APIs into workflows with a focus on “retrieval first” for better factual reliability and reduced hallucination risk. • Engineered query pipelines that minimized hallucination compared to simple prompting strategies with experience in vector search infrastructure and production-style cloud AI architecture patterns.
Bachelor of Technology - BTech, Computer Science, VIT Bhopal University