---
title: "Sriram Iyengar - Independent AI Consultant in Bengaluru | Tal"
description: "Meet Sriram Iyengar, Data Scientist | Machine Learning Engineer | Healthcare · Fintech · GenAI based in Bengaluru. AI stack includes anthropic apis, claude code, and gemini. Explore public work links including sriramiyengar.me."
image: "https://tal.club/meet/sriram-iyengar/share-image"
---

# Sriram Iyengar on Tal

## 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/

[View the original profile](https://tal.club/meet/sriram-iyengar)

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