---
title: "Sanket Mishrikotkar - Generative AI Engineer in Bengaluru | Tal"
description: "Meet Sanket Mishrikotkar, Internal Audit | Generative AI Engineer | LLM Applications • RAG • Text-to-SQL • Prompt Engineering | Python • Azure OpenAI • Claude | AI-Powered Analytics & Automation | Building Production AI Systems based in Bengaluru. AI stack includes claude, cursor, and gemini."
image: "https://tal.club/meet/sanket-mishrikotkar/share-image"
---

# Sanket Mishrikotkar on Tal

## Headline

Internal Audit \| Generative AI Engineer \| LLM Applications • RAG • Text\-to\-SQL • Prompt Engineering \| Python • Azure OpenAI • Claude \| AI\-Powered Analytics & Automation \| Building Production AI Systems

## About

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐭𝐮𝐫𝐧 𝐧𝐚𝐭𝐮𝐫𝐚𝐥 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐢𝐧𝐭𝐨 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬\. I’m a Generative AI / AI Engineer with 5\+ years of experience across software engineering, data analytics, automation, and AI\-driven solutions\. My recent focus is building production LLM applications — particularly Text\-to\-SQL, RAG, prompt engineering, LLM orchestration, AI agents, and guardrails\. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 🔹 Text\-to\-SQL systems that convert natural\-language questions into validated SQL and analytical insights\. 🔹 RAG pipelines using embeddings, semantic retrieval, and few\-shot examples to ground LLM responses\. 🔹 Advanced prompt\-engineering strategies using system rules, business context, and structured outputs\. 🔹 Multi\-provider LLM orchestration using Claude and Azure OpenAI GPT\-4 with fallback and token optimization\. 🔹 AI guardrails including SQL validation, injection detection, table allowlisting, and sandboxed execution\. 🔹 Agentic self\-repair workflows that use execution errors as feedback to automatically correct failed queries\. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 Python • SQL • LangChain • Claude • Azure OpenAI • RAG • Embeddings • Vector Search • Text\-to\-SQL • Prompt Engineering • AI Agents • LLM Orchestration • AI Guardrails • REST APIs • Power BI • DAX • ETL 𝐌𝐲 𝐁𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 I started my career in software engineering and data analytics, building Power BI solutions, data models, ETL workflows, automated KPIs, and analytics platforms\. That experience shaped how I approach AI today: AI is most valuable when it is connected to real data and real business problems\. I'm now focused on building practical, reliable AI systems rather than AI demos that only work in a notebook\. 𝐖𝐡𝐚𝐭 𝐈'𝐦 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐅𝐨𝐫 Opportunities where Generative AI, LLM applications, data, and software engineering intersect — especially teams building real\-world AI products and intelligent data applications\. 📩 Open to connecting with people working on Generative AI, LLMs, AI Engineering, RAG, and AI\-powered analytics\.

## Location

Bengaluru

## AI stack

claude

cursor

gemini

github copilot

## Work experience

Generative AI Engineer at Cognizant, Mar 2025 \- Present · 1 yr 8 mos, Bengaluru, Karnataka, India, • Architecting and building a production Generative AI analytics platform that converts natural\-language questions into validated SQL, visualizations, and narrative insights using Python, Claude, Azure OpenAI GPT\-4, and LangChain\. • Engineering RAG pipelines using Azure OpenAI embeddings, semantic retrieval, and top\-k few\-shot examples to ground LLM\-generated SQL and improve response accuracy\. • Designing advanced prompt\-engineering strategies combining system rules, few\-shot prompting, business\-context injection, and structured outputs for reliable Text\-to\-SQL generation\. • Implementing AI guardrails including SELECT\-only validation, SQL injection detection, table allowlisting, and sandboxed execution for AI\-generated code to improve security and reliability\. • Building multi\-provider LLM orchestration with Claude → GPT\-4 fallback, token\-budget optimization, and an agentic self\-repair loop that uses execution errors to automatically correct failed queries\. • Developing GenAI\-powered anomaly detection and automated insight generation to reduce manual analytical effort and accelerate time\-to\-insight\.

Software Engineer 1 at MAQ Software, Jun 2022 \- Mar 2025 · 2 yrs 10 mos, Hyderabad, Telangana, India, ✅Role: 1\. Translated complex data into actionable business intelligence insights, boosting decision\-making efficiency by 20%\. 2\. Designed and maintained interactive Power BI dashboards, improving operational transparency by 25%\. ✅Responsibilities: ✔ Power BI Development: Designed custom dashboards & reports, integrating data from SQL, SharePoint, and Azure, increasing data\-driven insights by 30%\. ✔ Data Modeling & ETL: Built Star/Snowflake Schema models, optimized Power Query \(M Language\), and automated ETL pipelines, reducing errors by 35%\. ✔ Advanced DAX & Performance Tuning: Developed complex DAX measures, reducing Power BI report load times to 8\-10 seconds\. ✔ Data Analysis & Visualization: Created impactful visualizations using Power Query, DAX, and M, ensuring data accuracy\. ✔ Power BI Service & Security: Managed Power BI Service, Gateways, and Row\-Level Security \(RLS\), ensuring secure data access\. ✔ Automation & Power Platform: Integrated Power Automate for workflows & Power Apps for interactive reporting, improving efficiency\. ✔ Stakeholder Collaboration: Worked with data engineers, scientists, and business leaders, boosting project success by 20%\. ✔ Agile Project Execution: Applied Agile & Scrum, delivering 4\+ projects, reducing delivery time by 50%\. ✔ Training & Documentation: Conducted Power BI training, increasing adoption by 40%\. Created technical documentation for governance\. ✔ Quality Assurance & UI/UX: Ensured data integrity, report accuracy, and UI/UX best practices, improving stakeholder satisfaction by 35%\.

Associate Software Engineer at Accenture, Aug 2021 \- May 2022 · 10 mos, Pune Division, Maharashtra, India, Developed automated testing utilities using Python and Robot Framework to test multiple applications seamlessly and efficiently\. Skills: 1\.Python 2\. Databases 3\. Robot Framework

Machine Learning Engineer at Aadi Technology, Dec 2020 \- Jun 2021 · 7 mos, Pune Division, Maharashtra, India, Worked on Truck Detection Project of JNPT i\.e\., Asia’s largest container port\. I closely worked on following technologies: • Python with Machine Learning • Angular • SQL • SSMS Also worked on Git, JIRA and Agile\.

## Education

Master of Computer Applications \- MCA, Computer Science, Government College of Engineering Aurangabad

Bachelor's degree, Computer Science, Vivekanand Arts, Sardar Dalip Singh Commerce & Science College

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

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