Aditya Chavan profile photo 1 on Tal

Aditya Chavan

Senior Full-Stack Software Engineer at Entytle | AI Agents · RAG · LangChain · High-Scale Data Platforms

Pune District

4+ years of work experience

RapidCanvas
Jul 20261 moPresent

Remote

Entytle
Apr 20263 moJul 2026

Maharashtra, India

1. Architected a multi-modal AI Database Agent (LangChain, AWS Bedrock, MCP, ClickHouse) converting natural language to SQL across 5 phases (guardrails, understand, resolve, execute, present), with RAG-powered few-shot retrieval; extended agent to trigger product actions (opportunities, pipelines, emails) from a single interface. 2. Designed and built a no-code Data Stitching and Transformation Platform (React, Java, Python, MongoDB) supporting 15+ operations (join, union, group-by, ranking) — enabling data analysts to process 10M+ records in under 30 minutes without writing a single line of code.
Entytle
Jun 20232 yrs 11 mosApr 2026

Pune District, Maharashtra, India

• Built an intelligent automation engine using product REST APIs to detect and resolve incorrectly merged address records at scale, cutting processing time from 2 hours to 10 minutes. • Engineered a high-performance address enrichment pipeline on ClickHouse (replacing Spark) with 8 custom algorithms across 200M reference addresses — enriching 100K records in minutes, an 80% throughput improvement. • Architected a configurable data quality framework with 8 rule-based validators, integrated into a React grid with cell-level failure rendering and profiling dashboards — reducing manual error triage by 70%. • Led end-to-end development of an Audit Service for Installed Base Data Studio, capturing every job and data flow with dashboard visibility from creation to persistence — reducing debugging time by 40%. • Built a full-stack deduplication platform enabling analysts to iteratively merge, split, and edit customer location clusters across 10–100M records — a previously impossible capability at that scale. • Replaced heavy PostgreSQL views with materialized views and precise indexing, reducing query fetch time by 87% and data processing time by 75%. • Designed a universal listing UI (sort, filter, pagination, inline edit) adopted platform-wide across all list views, improving data analyst workflow speed by 60%. • Drove AWS EKS upgrades (v1.31-v1.34) and AL2-AL2023 migration; containerized a monolithic Beanstalk service to EKS enabling usage-based auto-scaling; enforced platform-wide security via API interceptors, Snowflake key-pair auth, and MFA rollout.
Entytle
Jul 20221 yrJun 2023

Pune District, Maharashtra, India

• Optimized database query performance through strategic indexing and created scheduled validation service. • Engineered AMI backup automation system with 7-day retention for disaster recovery. • Reduced AWS S3 costs through storage class optimization based on usage pattern analysis.
Finarkein Analytics
Mar 20223 mosMay 2022

India

• Architected cross-site authentication system with persistent state management and seamless return navigation. • Developed strategic data caching framework accommodating multiple data origins. • Implemented secure phone authentication flows using Firebase integration.
GitHub
@git-aditya-star
Medium
@adityachavan095

Aditya’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
claude
claude
codex
codex
cursor
cursor
hugging face
hugging face
langchain
langchain
langgraph
langgraph
langsmith
langsmith
mcp
mcp
mistral
mistral
ollama
ollama

Education

Vishwakarma Institute of Technology

Bachelor of Technology - BTech, Computer Science

Vishwakarma Institute of Technology

20194 yrs2023

Join Aditya and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Aditya Chavan on Tal

Headline

Senior Full-Stack Software Engineer at Entytle | AI Agents · RAG · LangChain · High-Scale Data Platforms

About

Senior Full Stack Software Engineer with 3 years building high-scale data platforms, AI agents, and production backend systems processing 100M+ records. Known for end-to-end ownership, shipping no-code tooling, and delivering measurable impact across data quality, enrichment, and intelligent automation.

Location

Pune District

AI stack

anthropic apis

claude code

claude

codex

cursor

hugging face

langchain

langgraph

langsmith

mcp

mistral

ollama

Work experience

Senior Software Engineer at RapidCanvas, Jul 2026 - Present · 1 mo, Remote

Senior Software Engineer at Entytle, Apr 2026 - Jul 2026 · 3 mo, Maharashtra, India, 1. Architected a multi-modal AI Database Agent (LangChain, AWS Bedrock, MCP, ClickHouse) converting natural language to SQL across 5 phases (guardrails, understand, resolve, execute, present), with RAG-powered few-shot retrieval; extended agent to trigger product actions (opportunities, pipelines, emails) from a single interface. 2. Designed and built a no-code Data Stitching and Transformation Platform (React, Java, Python, MongoDB) supporting 15+ operations (join, union, group-by, ranking) — enabling data analysts to process 10M+ records in under 30 minutes without writing a single line of code.

Software Engineer at Entytle, Jun 2023 - Apr 2026 · 2 yrs 11 mos, Pune District, Maharashtra, India, • Built an intelligent automation engine using product REST APIs to detect and resolve incorrectly merged address records at scale, cutting processing time from 2 hours to 10 minutes. • Engineered a high-performance address enrichment pipeline on ClickHouse (replacing Spark) with 8 custom algorithms across 200M reference addresses — enriching 100K records in minutes, an 80% throughput improvement. • Architected a configurable data quality framework with 8 rule-based validators, integrated into a React grid with cell-level failure rendering and profiling dashboards — reducing manual error triage by 70%. • Led end-to-end development of an Audit Service for Installed Base Data Studio, capturing every job and data flow with dashboard visibility from creation to persistence — reducing debugging time by 40%. • Built a full-stack deduplication platform enabling analysts to iteratively merge, split, and edit customer location clusters across 10–100M records — a previously impossible capability at that scale. • Replaced heavy PostgreSQL views with materialized views and precise indexing, reducing query fetch time by 87% and data processing time by 75%. • Designed a universal listing UI (sort, filter, pagination, inline edit) adopted platform-wide across all list views, improving data analyst workflow speed by 60%. • Drove AWS EKS upgrades (v1.31-v1.34) and AL2-AL2023 migration; containerized a monolithic Beanstalk service to EKS enabling usage-based auto-scaling; enforced platform-wide security via API interceptors, Snowflake key-pair auth, and MFA rollout.

Software Engineer Intern at Entytle, Jul 2022 - Jun 2023 · 1 yr, Pune District, Maharashtra, India, • Optimized database query performance through strategic indexing and created scheduled validation service. • Engineered AMI backup automation system with 7-day retention for disaster recovery. • Reduced AWS S3 costs through storage class optimization based on usage pattern analysis.

Software Development Intern at Finarkein Analytics, Mar 2022 - May 2022 · 3 mos, India, • Architected cross-site authentication system with persistent state management and seamless return navigation. • Developed strategic data caching framework accommodating multiple data origins. • Implemented secure phone authentication flows using Firebase integration.

Education

Bachelor of Technology - BTech, Computer Science, Vishwakarma Institute of Technology

Public links

github: https://github.com/git-aditya-star

medium: https://medium.com/@adityachavan095