Headline

Data Scientist | Machine Learning Engineer | Healthcare · Fintech · GenAI

About

Machine Learning Engineer with 3+ years building production AI systems across healthcare, fintech, and startups. Recent work includes: - Architected deep learning models that drove $20M in healthcare contract savings - Reduced a financial tax reporting cycle from 5 hours to 5 minutes with an end-to-end ML pipeline - Led LLM and RAG pipeline builds that went from zero to enterprise production within weeks I specialise in the full stack of applied AI: scoping the right problem, modelling, and delivering results that actually change decisions. That means working across data curation, modeling, agentic AI, LLM fine-tuning (LoRA/QLoRA), retrieval-augmented generation, and computer vision pipelines in high-stakes production environments. Open to ML Engineer, AI Engineer, and AI/Data Consulting roles — Bengaluru, Dubai, and remote. Building something interesting in AI, or sitting on a problem where data should be doing more? Happy to talk!!

Location

Bengaluru

AI stack

anthropic apis

claude code

gemini

langchain

langgraph

notebooklm

Work experience

Independent AI Consultant at F & D Partners, Inc., Jun 2026 - Present · 3 mos

Independent AI Consultant at Qapita, Nov 2025 - May 2026 · 7 mos, Bangalore Urban, Karnataka, India

Machine Learning Engineer - Growth at mason, Jul 2025 - Oct 2025 · 4 mos, United States

Machine Learning Engineer - Healthcare Analytics at Certilytics, Dec 2023 - Mar 2025 · 1 y 3 mo, United States, • Engineered deep learning models to generate tailored findings reports: identifying high-impact contract anomalies, and delivering actionable insights, resulting in up to $20 Million in savings for large health plans and Fortune 500 clients. • Pioneered the R&D of an Unsupervised Feature Extraction Framework on AHRQ SDoH data using Python, reducing 320+ features to 17, improving predictive accuracy, and mitigating bias across production models. End-to-End Ownership of Project. • Launched a model calibration pipeline that generalized and automated transfer learning across the model suite. • Optimized the existing Scala and SQL-based data processing pipeline, reducing errors by 30% and processing time by 40%, improving process reliability and enabling analysts to focus on insights. • Supported the Payment Integrity division through the use of predictive models to prioritize the high-value claims for audits.

Asset Analyst at Paradigm Infotech Inc., Oct 2023 - Nov 2023 · 2 mos, Erie, Pennsylvania, United States, • Worked on IBM’s Asset Management tool Maximo to develop data-backed reports facilitating decision-making on various projects. • Developed Project Feasibility reports to advise the integration of Maximo across various production facilities worldwide.

Education

Bachelor of Science - BS, Applied Data Science with a focus in Computation and Algorithms, Penn State University

High School Diploma, Centennial High School

Public links

sriramiyengar.me: https://sriramiyengar.me/