shri harshan
@shriharshan
I build and deploy LLM-powered RAG, agentic AI, and fine-tuned production systems.
IndiaWhat I'm looking for
I've built LLM-powered retrieval, agentic, and voice AI systems at Basal Analytics, Param Networks, and Tiger Analytics. My work includes improving RAG retrieval precision by over 30%, reducing document-processing latency by 25%, and deploying scalable inference on AWS.
At Tiger Analytics, I fine-tune Qwen language models with LoRA and QLoRA for image information extraction and deploy production pipelines on AWS SageMaker. I work across Python, Hugging Face, PyTorch, LangChain, FastAPI, vector search, and end-to-end conversational AI workflows.
Experience
Work history, roles, and key accomplishments
AI Engineer
Param Networks
Jul 2025 - Mar 2026 (8 months)
Developed and evaluated LLM-based AI agents using Hugging Face models and open-source frameworks, focusing on reasoning, tool usage, and task orchestration. Built an agentic AI developer tool and a real-time voice call AI agent integrating multiple AI services.
Education
Degrees, certifications, and relevant coursework
Sri Shakthi Institute of Engineering and Technology
Bachelor of Engineering, Electrical and Electronics
2019 - 2023
Grade: 7.40
Pursued a Bachelor of Engineering in Electrical and Electronics, achieving a GPA of 7.40.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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