Tom Roy
@tomroy
I build production AI systems using LLMs, RAG, agents, and computer vision.
IndiaWhat I'm looking for
At TechTern, I build applied AI systems that improve reliability and speed: strict and soft RAG modes reduced LLM hallucinations by about 30%, and LoRA/QLoRA fine-tuning of LLaMA and Gemma improved response accuracy by 20% while reducing trainable parameters by more than 90%.
I've also delivered agentic chatbot workflows, real-time YOLO computer vision, AI SQL assistants, code-review tools, and IoT healthcare monitoring products. My M.Sc. in Data Science and IEEE-presented fire-detection research help me translate AI research into practical full-stack systems.
Experience
Work history, roles, and key accomplishments
Data Scientist
TechTern
May 2025 - Present (1 year 3 months)
Implemented strict/soft RAG modes with query filtering, cutting LLM hallucination rate by ~30%. Fine-tuned LLaMA and Gemma models using LoRA/QLoRA, improving response accuracy by 20% while cutting trainable parameters 90%+.
Data Science Intern
01 Crew
Feb 2025 - Apr 2025 (2 months)
Built an LLM-driven chatbot with agentic workflow automation for end-to-end query resolution across multi-step workflows.
Education
Degrees, certifications, and relevant coursework
Luminar Technolab
Internship, Data Science
2023 - 2023
Completed a Data Science internship, developing a YOLO-based object detection model and optimizing ETL pipelines.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Portfolio
github.com/TOMROYTHOMASJob categories
Skills
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