Summary
Adit Bhosle is a software engineer and data enthusiast with eight years of experience building production-ready ML and cloud-native systems from Boston. He combines full-stack engineering, infrastructure-as-code and prompt engineering to deliver automated pipelines, APIs, and multi-agent LLM solutions that cut manual effort and accelerate lead conversion for financial and enterprise clients. His background spans deploying LSTM/BERT models for spam detection, sentiment analysis pipelines that lifted client revenue, and migrating systems to scalable microservices and AWS-managed data platforms. Comfortable shipping end-to-end—from model training and CI/CD to Lambda, Bedrock, Glue, Athena and Terraform—he bridges data science and software engineering to operationalize ML. He holds an MS in Data Analytics Engineering from Northeastern and often pairs pragmatic automation with creative prompt and agent design to solve real-world problems. Notably, he has implemented integrated visitor-lead pipelines that use LLM filtering to surface high-intent decision-makers, a practical but uncommon application of LLMs in sales workflows.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Technology, Computer Science and Engineering with Spl in Information Security, Bachelor of Technology, Computer Science and Engineering with Spl in Information Security at Vellore Institute of Technology
Master of Science - MS, Data Analytics Engineering, 3.75, Master of Science - MS, Data Analytics Engineering, 3.75 at Northeastern University
English, Hindi, Marathi