---
title: "Aditya S. - AI ML Engineer in Bengaluru | Tal"
description: "Meet Aditya S., Senior AI/ML Engineer, 8+ yrs shipping LLM, RAG & agentic AI to production. Multi-agent systems with LangGraph, ReAct, MCP. RAG pipelines, DSPy optimization, LoRA fine-tuning, LangFuse observability on GCP Vertex AI. based in Bengaluru. AI stack includes langchain, langfuse, and lan..."
image: "https://tal.club/meet/aditya-shukla-3/share-image"
---

# Aditya S\. on Tal

## Headline

Senior AI/ML Engineer, 8\+ yrs shipping LLM, RAG & agentic AI to production\. Multi\-agent systems with LangGraph, ReAct, MCP\. RAG pipelines, DSPy optimization, LoRA fine\-tuning, LangFuse observability on GCP Vertex AI\.

## About

AI ML Engineer specializing in Artificial Intelligence and Generative AI\. Actively contributing to projects that leverage advanced agentic workflows to optimize solutions\. Holds a BTech in Information Technology from Vellore Institute of Technology\.

## Location

Bengaluru

## AI stack

langchain

langfuse

langgraph

mcp

huggingface

Agno

## Work experience

AI ML Engineer at Egnyte, Jun 2025 \- Present · 1 yr 3 mos, India, • Architected and shipped a ReAct agent \(LangGraph, Judge0\) for sandboxed Python code execution, enabling natural\-language Q&A and analytics over spreadsheet data\. • Re\-architected the agent with a SQL\-generation approach on Gemini, reducing inference cost and latency by 10x while improving answer reliability and accuracy\. • Led team\-wide adoption of DSPy for programmatic prompt optimization, replacing hand\-tuned prompts with automated, metric\-driven prompt engineering backed by evaluation frameworks\. • Led a multi\-label NLP classification pipeline \(AEC tagger\) using PEFT/LoRA fine\-tuned SLMs \(Gemma, Qwen\) on GCP Vertex AI, achieving 95% weighted F1 and 77% exact match accuracy with a 31% improvement in document search quality\. • Built SLM classifiers across AEC, FSI and ASK domains, improving query routing and domain accuracy\. • Built a deep research agent for automated external data discovery and retrieval, and a ReAct\-based agentic orchestration loop for synthetic data generation — boosting classifier accuracy by 40% \(relative\) and accelerating development cycles\.

Machine Learning Engineer at Nanos \- AI Marketing, May 2021 \- Present · 5 yrs 4 mos, Zurich, Switzerland, • Fine\-tuned LLMs \(LoRA, QLoRA, GRPO\) on Hugging Face / PyTorch for dynamic Google Ads keyword generation, improving CTR and campaign ROAS\. • Built and deployed RAG pipelines with vector embeddings for cold\-start ad campaigns, grounding generation in historical and external data\. • Automated end\-to\-end campaign creation and monitoring via multi\-agent systems \(Agno\), cutting manual overhead by 40%\. • Implemented cross\-platform budget optimization using Thompson Sampling and Multi\-Armed Bandits, raising campaign efficiency by 20%\. • Developed an ad\-suggestion engine with transformer models \(BERT\) and RAG\-based LLMs, improving ad relevance by 15%\.

Data Scientist at Course5i, Jan 2020 \- May 2021 · 1 yr 5 mos, Bangalore, • Built a decision\-tree model to predict customer churn and upgrade likelihood for a major retail client, improving retention\. • Engineered real\-time object detection \(YOLO, OpenCV\), reducing detection errors by 10%\. • Conducted client spend analysis identifying cost\-saving opportunities, generating $500K in savings\.

Data Scientist at OceanFrogs, Sep 2019 \- Jan 2020 · 5 mos, Greater Bengaluru Area

Software Developer at Standard Chartered Bank, Jul 2018 \- Sep 2019 · 1 yr 3 mos, Greater Chennai Area

## Education

Bachelor of Technology, Information Technology, Vellore Institute of Technology

[View the original profile](https://tal.club/meet/aditya-shukla-3)

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