---
title: "Ashish Som - Associate Consultant (AI) in Bengaluru | Tal"
description: "Meet Ashish Som, Generative AI Engineer | Healthcare AI | LLM Applications | RAG & Agentic AI | Python based in Bengaluru. AI stack includes codex, gemini, and langchain. Explore public work links including github."
image: "https://tal.club/meet/ashish-som/share-image"
---

# Ashish Som on Tal

## Headline

Generative AI Engineer \| Healthcare AI \| LLM Applications \| RAG & Agentic AI \| Python

## About

I’m a Generative AI Engineer working on AI applications for healthcare research, with hands\-on experience building LLM\-powered workflows, RAG systems, and automation pipelines using Python\. In my current role at Red Nucleus, I work closely with clinical research teams to understand complex research workflows, evaluate where LLM\-based automation can add value, and translate validated requirements into configurable AI workflows\. I contribute to the continued development of an internal AI platform supporting systematic literature review, evidence extraction, document processing, and content generation\. My experience includes: • Building LLM\-powered workflows using Python, OpenAI, Claude, and Gemini • Developing RAG and Agentic RAG systems using LangChain, LangGraph, embeddings, and ChromaDB • Designing configuration\-driven workflows with structured outputs, JSON schemas, validation, parsing, and retry handling • Working with asynchronous processing and concurrency for high\-volume AI workloads • Developing workflow\-specific processing logic while maintaining reusable shared components • Working with Git/GitHub workflows, CI validation, smoke testing, debugging, and code review • Translating research and business requirements into practical AI automation solutions My background also combines technology with business and management education through an MBA, which helps me approach AI projects from both a technical and business\-requirement perspective\. In my current role, I use this combination when working with stakeholders to understand problems, evaluate automation opportunities, and translate requirements into practical AI solutions\. One of my key areas of focus is making LLM applications more reliable and practical for real\-world workflows, not just demonstrating what an LLM can do, but integrating it into repeatable processes with validation, error handling, and appropriate workflow controls\. I’m particularly interested in Generative AI, LLM applications, RAG, Agentic AI, AI application engineering, and the development of scalable AI systems\. Currently, I’m expanding my skills in cloud and AI infrastructure, including Docker, Microsoft Azure, Azure OpenAI Service, Azure Container Apps, and FastAPI\.

## Location

Bengaluru

## AI stack

codex

gemini

langchain

langgraph

langsmith

openai

## Work experience

Associate Consultant \(AI\) at Bridge Medical Consulting, Jul 2024 \- Present · 2 yrs 5 mos, Bengaluru, Karnataka, India, • Develop and continuously enhance a multi\-workflow AI platform for healthcare research, enabling clinical researchers to automate systematic literature review, evidence extraction, document processing, and content generation workflows\. • Work closely with clinical research teams to understand complex research workflows, evaluate LLM\-based automation opportunities and limitations, and translate validated requirements into configurable AI workflows\. • Build reusable, configuration\-driven processing components supporting multiple LLM providers and models, including OpenAI, Claude, and Gemini, with configurable prompts, model parameters, structured outputs, validation, parsing, and retry handling\. • Improve reliability and performance of high\-volume AI workflows by implementing checkpoint\-based processing and asynchronous concurrency, reducing processing time from approximately 3 hours to approximately 15 minutes\. • Contribute to day\-to\-day technical development through GitHub\-based workflows, CI validation, smoke testing, debugging, and code review, while providing technical support and knowledge transfer to clinical users\.

Data Scientist at Learnvista Pvt\. Ltd\., Aug 2021 \- Jun 2024 · 2 yrs 11 mos, Bengaluru, Karnataka, India, • Developed and evaluated machine learning models for classification and regression using Python and Scikit\-learn, with a focus on education analytics\. • Analyzed structured datasets to identify patterns, trends, and insights using Python\-based data analysis techniques\. • Collaborated with business teams to understand analytical requirements and translate findings into actionable insights and recommendations\.

Data Analyst at Zhenzhou Intel Translation Company, Jun 2018 \- Jan 2020 · 1 yr 8 mos, Zhengzhou, China, • Collaborated with business\-unit leaders to identify and prioritize business problems and requirements\. • Designed and implemented Excel dashboards to monitor key performance metrics and identify resource gaps\.

## Education

Master of Business Administration \- MBA, Uttarakhand Technical University

Bachelor of Computer Application, Computer Science, CCS \(Chaudhary Charan Singh\)University

## Public links

- github: https://github\.com/ashish\-som

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

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