---
title: "Tanishq Chaturvedi - Software Engineer in Indore | Tal"
description: "Meet Tanishq Chaturvedi, Generalist based in Indore. AI stack includes codex, cursor, and kimi."
image: "https://tal.club/meet/tanishq-chaturvedi/share-image"
---

# Tanishq Chaturvedi on Tal

## Headline

Generalist

## About

Hi, I'm Tanishq Chaturvedi\! I am a Software Developer and Computer Science Engineering grad focused on building scalable backend architectures and stateful generative AI applications\. What I Do: AI & Orchestration: Advanced Multi\-Agent Meshes, LangGraph, LangChain, RAG, and production LLM optimization\. Backend Systems: High\-throughput distributed pipelines, microservices, and database optimization\. Full\-Stack Integration: Aligning robust TypeScript/React frontends with complex distributed backends\. Tech Stack: Languages & DBs: TypeScript, JavaScript, C\+\+, Java, SQL, PostgreSQL, Redis, Supabase, Pinecone Frameworks & Tools: Node\.js, Express\.js, Spring Boot, Drizzle ORM, Redux Toolkit, Docker, GCP

## Location

Indore

## AI stack

codex

cursor

kimi

langgraph

langsmith

OpenRouter

## Work experience

Software Engineer at Dice, Aug 2025 \- Present · 1 yr 1 mo, Gurugram, Haryana, India, 1\. SAP\-Integrated R2R Platform: Led the architecture and delivery of a Record\-to\-Report \(R2R\) automated accrual platform in close collaboration with PwC\. Handled the distributed logic to ingest and compute metrics for 396,000\+ PO lines and 960,000\+ GRN transactions per fiscal year, preventing in\-memory server degradation\. This core engine successfully cut corporate processing costs for JKCements from ₹9 Crores down to a one\-time ₹3 Crores, maintaining an ultra\-lean recurring annual cost of just ₹57 Lakhs\. 2\. Production Voice AI \(Tabbly Integration\): Deployed an outbound multi\-lingual conversational agent \(Marathi, Hindi, English\) with stateful checkpointing for the Mahavitaran Electricity Board\. By engineering targeted prompt optimizations and context\-minimization logic, we slashed round\-trip voice latency by 19% and token overhead by 17%—reducing total runtime costs to a lean ₹1\.59/min and yielding ₹14\.36 Lakhs in annualized infrastructure savings across 3,000 daily calls\. 3\. Payabalegpt\.ai In the FinTech layer of our product suite, PayabaleGPT focuses on the "Order\-to\-Pay" workflow\. It leverages Generative AI to handle invoice processing, dispute resolution, and payment scheduling\. The Impact: By removing the manual friction from accounts payable, we enable finance teams to focus on strategy rather than data entry\. The Challenge: Ensuring 99\.9% accuracy in financial data extraction and maintaining secure, compliant AI\-driven financial pipelines\.

Software Engineer Intern at Dice, Feb 2025 \- Jul 2025 · 6 mos, Pune District, Maharashtra, India, Engineer a chargeback ingestion microservice using Node\.js, TypeScript, Express\.js, PostgreSQL, BullMQ, and Redis to process large Excel/CSV file uploads, perform SHA\-256 deduplication, and manage resumable jobs with Drizzle ORM\. • Implement parallel and batched processing with map–reduce style workers, improving throughput by 240% and reducing job time by 71% for 100k\-row files\. • Build LangGraph multi\-agent pipelines with fan\-in/fan\-out and checkpointing, increasing extraction throughput by 110%, re\- ducing latency by 19%, and lowering token usage by 17%\. • Add reliability and observability features including progress tracking, retries with dead letter queues, idempotent replays, and status APIs — achieving a 99\.95% successful job completion rate for sustained 150k\+ record loads, and reducing compute costs by 12%\.

Full Stack Developer at Lumber, Oct 2024 \- Dec 2024 · 3 mos, Bengaluru, Karnataka, India, • Developed the backend for an Equipment Management System supporting 30,000\+ users across 60\+ companies using Spring Boot, Java, JPA, and PostgreSQL\. • Optimized PostgreSQL queries through indexing and advanced Spring Data JPA techniques, achieving 43% faster query performance for large datasets\. • Built secure, scalable REST APIs with pagination and AWS S3\-based file handling\. • Delivered 7 full\-stack features using TypeScript, React\.js, and Redux, ensuring smooth frontend–backend integration\.

## Education

Bachelor of Technology \- BTech, Computer Science, Institute of Engineering & Technology DAVV, Indore

PCM, School, Agarwal Public School

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

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