Apoorva Vasamsetti
AI/ML | Software Development Engineer | Ex Amazon | MS Information Technology and Management at UTD | Former Software Engineer at Siemens
- Role
- Machine Learning Engineer at Comcast
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Apoorva Vasamsetti
Developing solutions and enabling information is what I follow that made me gain vast knowledge from Electronics to IT and now ITM. My work focuses on developing production-grade large language model (LLM) applications, RAG pipelines, and intelligent search systems. I’ve deployed GenAI applications using Amazon Bedrock, OpenAI APIs, and LangChain—integrating vector databases (FAISS, Pinecone), chunking logic, and prompt optimization techniques to maximize contextual accuracy and response quality.Beyond model development, I bring strong backend engineering skills in Python, Java, and Golang, along with robust MLOps practices including model monitoring, experiment tracking with MLflow, and CI/CD pipeline automation.I thrive in agile, cross-functional teams—especially where I can bridge the gap between applied machine learning and real-world product impact.Let’s connect if you\'re exploring opportunities in GenAI, LLMOps, or scalable ML system design.I am a data-driven person who is passionate about analysis and helping the business flourish.Achieving a balance in life by practicing yoga as a healthy body creates a healthy mind leading to better decision-making. I also like indulging in dance and Zumba sessions to keep me pumped up.My urge to learning something new every day and from every person makes me moving and excel in every domain.Thank you for going through my profile. We can discuss my future career with your business at:a••••••••@gmail.com#AI/ML#MachineLearning#dataEngineering #businessanalysis #dataanalysis #itmanagement
Experience
Machine Learning Engineer
Dec 2024 — Present · US
Education
SRM IST Chennai
B.Tech, Electrical, Electronics and Communications Engineering
The University of Texas at Dallas
Masters, Information Technology and Management
2021 — 2022
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