saransh bhaduka
@saranshbhaduka
Machine Learning Engineer II building agentic GenAI systems that cut latency, cost, and bias.
IndiaWhat I'm looking for
I’m a Machine Learning Engineer II focused on shipping production-ready GenAI and agentic systems that automate real workflows. At ServiceNow, I built and deployed end-to-end agentic systems by integrating LLMs with virtual agents and enterprise chatbots, improving responsiveness and execution speed by 80% through centralized caching and async processing pipelines.
I also design systems for secure, low-latency agent communication. I developed A2A and MCP communication protocols over SSE for real-time interactions, and ensured secure microservices communication using mTLS with canary/A-B deployments.
Previously at Carelon Global Solutions, I accelerated model development and adoption by reducing training time by 40% via automated hyperparameter tuning and smart model selection, and improving inference speed by 50% while lowering infrastructure cost by 30% using AWS (EC2, S3, Lambda, SageMaker). I’ve also delivered Responsible AI workflows that reduced bias by 35% while maintaining 98% adherence to FAT guidelines, and built GenAI-powered tooling (like an LLM-based unit test-case generator) that reduced manual testing effort by 70%.
Experience
Work history, roles, and key accomplishments
Built and deployed end-to-end agentic systems by integrating LLMs with enterprise virtual agents and chatbots to enable intelligent automation. Designed caching and async processing pipelines cutting agent execution time by 80% and improving responsiveness; developed A2A/MCP protocols over SSE with secure mTLS and canary/A-B deployments for low-latency agent interactions.
Associate Software Engineer
Carelon Global Solutions
Jul 2023 - Apr 2025 (1 year 9 months)
Automated model-building by dynamically tuning hyperparameters and selecting optimal tree-based models, reducing training time by 40%. Deployed AWS-based inference (EC2/S3/Lambda/SageMaker) to improve inference speed by 50% and reduce infrastructure cost by 30%, while building Responsible AI workflows that reduced bias by 35% with 98% FAT adherence and an LLM-powered unit test-case generator that
Software Developer Intern
Carelon Global Solutions
May 2022 - Jul 2022 (2 months)
Developed and deployed a biomedical Named Entity Recognizer using transformer models to extract medical terms, improving document processing speed by 40%. Optimized entity detection for biomedical datasets using spaCy and BERT-based transformers.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology Karnataka
Minor, Information Technology
2020 - 2023
Grade: CGPA: 8.00/10
Completed a minor in Information Technology at NIT Karnataka, Surathkal (CGPA: 8.00/10).
National Institute of Technology Karnataka
Bachelor of Technology, Mechanical Engineering
2019 - 2023
Grade: CGPA: 8.41/10
B.Tech. in Mechanical Engineering at NIT Karnataka, Surathkal (CGPA: 8.41/10).
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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