What does Tanishq Bhosale build?

Tanishq builds production LLM and agentic AI systems — LangGraph state machines, RAG pipelines on pgvector, FastAPI streaming backends, and React / React Native interfaces.

What is Tanishq's tech stack?

His core stack is Python and TypeScript with LangGraph, LangChain, FastAPI, React, and React Native, backed by PostgreSQL/pgvector, Node.js, MongoDB, and AWS.

Where is Tanishq Bhosale based?

Tanishq is based in Bangalore, India (Asia/Kolkata timezone), and is open to on-site, hybrid, or remote work.

Is Tanishq Bhosale available for hire?

Yes — Tanishq is available for GenAI / AI Engineer roles. Reach him at bhosaletanishq4@gmail.com or on LinkedIn at /in/tanishq-bhosale.

What experience does Tanishq have?

He is a Software Development Engineer 1 at Tap Academy (Mar 2025 – present). Before that he was an SDE1 at Quanta (Jul 2024 – Feb 2025) and a software developer intern at Visionet Systems. He holds a B.Tech in CSE (Data Science) from Presidency University.

Tanishq Bhosale — AI & Full Stack Engineer in Bangalore

TANISHQ

A crafty bunch

of creative

problem solvers.

ANIMATION

LIVE ACTION

WIZARDRY

MindSnack Quiz Builder - AI-powered quiz generation app by Tanishq Bhosale

Ethereum price prediction machine learning project by Tanishq Bhosale

Financial fraud detection ML model by Tanishq Bhosale

Food delivery data analysis project by Tanishq Bhosale

Website Auto Nxtgen - automated website builder by Tanishq Bhosale

01 / 05

MindSnack Quiz Builder

Ethereum Price Prediction

Financial Fraud Prediction

Food Delivery Data Analysis

Website Auto Nxtgen

About - 01

Tanishq Bhosale.

Full Stack + AI Engineer · Bangalore

Two-plus years shipping production LLM and agentic AI systems - LangGraph state machines, FastAPI streams, React Native interfaces. I care about the moment where a complex system feels obvious to use, even when the plumbing underneath isn't.

Currently SDE1 at Tap Academy. Previously SDE1 at Quanta and a software developer intern at Visionet Systems. B.Tech in Computer Science (Data Science), Presidency University, 2020–2024.

Full StackAI EngineerLangGraphFastAPIReact NativepgvectorAgentic AIStreaming✦Full StackAI EngineerLangGraphFastAPIReact NativepgvectorAgentic AIStreaming✦Full StackAI EngineerLangGraphFastAPIReact NativepgvectorAgentic AIStreaming✦

Skills - 02

~/site - zsh - 34×7skills.txt

●live

last login: mon jul 27 2026 on ttys001

tanishq@portfolio:~/site (main) $

Tanishq Bhosale - full stack + ai engineer · bangalore

tanishq@portfolio:~/site (main) $

✓AI / MLlanggraphlangchainllm-integrationragpgvectoragentic-workflowsprompt-engineeringmem0

✓Languagespythonjavascripttypescript

✓Frontendreactreact-nativeexporeduxzustandtailwind-css

✓Backendfastapinode.jsexpressflaskprisma

✓Databasespostgresqlmongodbmysqlpgvector

iCloudawsfirebasesupabase

iOtherrestful-apissse-streamingasync-architecturemodular-architecturesql-optimization

✓Success! 7 categories, 34 tools loaded.

iStack ready for production. 0 errors.

tanishq@portfolio:~/site (main) $

main ⇡utf-8ln 38

Bangalore, IN2026

Experience - 0303 ROLES

Where I've shipped.

Three stubs. Each one represents a stack, a team, and a thing that actually went to production.

N° T-001

Tap Academy

Software Development Engineer 1

Bangalore · Mar 2025 - Present

Built production LLM-powered AI code assistance feature using OpenAI APIs with optimized prompt engineering and token management, serving real-time suggestions to students on the learning platform.
Developed scalable full-stack applications with React + FastAPI/Node.js, implementing Redux state management and React Router for a responsive learning experience.
Optimized PostgreSQL and MongoDB queries through indexing and query restructuring, reducing average API response time by ~35%.
Integrated streaming LLM responses via Server-Sent Events for instant feedback on code submissions, improving perceived responsiveness.

STACK ▸ react · fastapi · node.js · postgresql · mongodb · redux · sse · openai

N° T-001 · authenticated

confidence

N° T-002

Quanta

Software Development Engineer 1

Bangalore · Jul 2024 - Feb 2025

Designed high-performance FastAPI and Flask APIs for real-time synchronization and collaboration features, handling concurrent user sessions with low-latency updates.
Built scalable MySQL schemas and integrated third-party APIs for production workloads, reducing data inconsistency issues.
Contributed to modular backend architecture with reusable service layers, cutting new feature development time for adjacent modules.

STACK ▸ fastapi · flask · mysql · async · rest

N° T-002 · authenticated

confidence

N° T-003

Visionet Systems

Software Developer Intern

Bangalore · Feb 2024 - Jul 2024

Built reusable AWS cloud components and modular Python solutions with optimized SQL queries, improving scalability and data integrity.

STACK ▸ aws · python · sql

N° T-003 · authenticated

confidence

Available for GenAI / AI Engineer roles · Bangalore

Education - 04ARCHIVE

Class of

2024

PU · BANGALORE

Presidency University

STUDENT ID

Name

Tanishq Bhosale

Programme

B.Tech · CSE (Data Science)

Batch

2020 - 2024

ID №

PU-19BCE-7421

Issued

AUG 2020

Bearer signatureTanishq B.

PU-19BCE-7421

Property of

Presidency University

If found, return to

Itgalpur, Rajanakunte, Yelahanka, Bangalore - 560064

Valid through 2024 · Non-transferable

ⓘ tap to flip · move cursor to tilt

Coursework - partial transcript

CSE-101Foundations of Computer Science

CSE-201Data Structures & Algorithms

CSE-305Database Management Systems

ML-401Machine Learning

DS-402Big Data Systems

DS-501Final-Year Capstone

Numbers - at a glance

4 years

8 semesters

47 papers

CGPA 7.95

Bangalore, IN

Graduated ✓

Writing - 05

Build logs,not thoughtleadership.

Long-form write-ups on the parts of shipping AI that are actually hard — grounding a model against a fixed fact set, loops that provably terminate, and what a system should do when it runs out of retries.

27 Jul 202614 min readResumeOS

Your AI Resume Builder Is Lying About You

I built ResumeOS to tailor a resume to any job description without inventing a single fact about you. This is the grounding architecture that makes that a guarantee instead of a hope — a judge model handed the whole profile as ground truth, a bounded verify-and-repair loop, and one rule: fail closed on correctness, fail open on cosmetics.