AI Engineer@Unisys | Claude Certified Architect | Python | FastAPI | RAG | LLM Finetuning | Cloud(AWS,Azure) | AI Agents | MCP

Hybrid

On-site

Bachelor of Engineering - BE, Information Technology
New Horizon College of Engineering
12th, Mathematics and Computer Science
spring dale college
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Hey, I’m Nikhil Bhatt! I have a BE in Information Science and Engineering from New Horizon College of Engineering, a place where I’ve learned not only how to code but also how to survive on caffeine and deadlines! Currently, I’m working at Unisys as an Associate Software Engineer in AI team. I thrive in Agile environments (because who doesn’t love a good sprint, right?), and I’m always looking for ways to combine tech and business whether that’s solving a problem in the cloud or brainstorming the next big startup idea. I love learning, adapting, and diving into new challenges headfirst (which often involves some learning the hard way, but hey, I’ve got a good sense of humor about it). If you're looking for someone who’s technically sharp, a fast learner, and can bring a smile to the team, let’s connect! Because at the end of the day, success is a team sport and I’m always in the game.
Bengaluru
Associate Software Engineer at Unisys, Aug 2025 - Present · 1 yr, Hybrid, • Developed FastAPI backend APIs for LLaMA 3:8B Instruct fine-tuning and inference entirely on-premises and hosting on Hugging Face private repo. • Contributed to the cloud-to-on-prem migration of a RAG-based solution, focusing on Apache Airflow pipelines and end-to-end caching implementation, while collaborating with teammates on other services like context management using MongoDB. • Implemented vector-based caching with Qdrant DB, improving retrieval efficiency and system performance.
AiOps Intern at Unisys, Oct 2024 - Jul 2025 · 10 mos, On-site, • Built intelligent agents using Agno(formerly Phidata) and CrewAI to automate tasks. • Optimized RAG pipelines by adding semantic caching with Azure AI Search, cutting API costs and latency. • Worked on fine-tuning Large Language Models(LLMs) using Unsloth and Deepspeed for efficient LLM training.
Bachelor of Engineering - BE, Information Technology, New Horizon College of Engineering
12th, Mathematics and Computer Science, spring dale college