---
title: "Parth Mahesh Deshmukh - Co-Founder & CEO in Greater Bengaluru Area | Tal"
description: "Meet Parth Mahesh Deshmukh, Building Corvane | AI/ML Engineer | Cloud Native AI & Real Time Systems | Quantitative Finance based in Greater Bengaluru Area. AI stack includes claude code, claude, and cursor. Explore public work links including github."
image: "https://tal.club/meet/parth-mahesh-deshmukh/share-image"
---

# Parth Mahesh Deshmukh on Tal

## Headline

Building Corvane \| AI/ML Engineer \| Cloud Native AI &amp; Real Time Systems \| Quantitative Finance

## About

I am an AI/ML &amp; Cloud Engineer who builds LLM systems that run in production and ship real impact\. My work spans generative AI, agentic pipelines, multi\-LLM orchestration, cloud backends, and privacy\-preserving infrastructure, with a focus on FinTech, renewable energy, and e\-commerce\. I am also building toward quantitative finance and systematic trading, with probability, market microstructure, and low\-latency C\+\+ systems as my focus\. My starting point is Monte Carlo risk modelling and strategy backtesting\. As an AI Intern at Iris, I shipped production systems for real users: \- Built an agentic template\-generation pipeline with memoised workflow decomposition, cutting project setup latency by 70% and automating 100% of new\-user onboarding \- Engineered a multi\-LLM orchestration layer routing across Claude, GPT\-4, and Gemini with capability\-based dispatch and dynamic context management \- Traced a critical billing bug to an off\-by\-one error in the credits ledger and restored the pipeline within 24 hours At 42Labs, I built a biometric tokenization pipeline that converts face embeddings into irreversible 256\-bit tokens, so zero raw embeddings are ever stored\. I also merged a fix into Apple's FoundationDB, a production\-grade distributed database\. Projects: \- Solari Scope: cloud fleet orchestration that fans jobs out across isolated microVMs, with LLM\-generated worker scripts, SSE result streaming, guaranteed sandbox teardown, and live cost alerts \- CreditIQ: AI credit intelligence platform with a deep learning classifier \(82\.5% AUC\-ROC\), a ChromaDB RAG pipeline, and FinBERT sentiment scoring \(87% accuracy\), fully Dockerized \- LiveRisk: Monte Carlo risk engine running 10,000 correlated paths with LSTM forecasting and 95% VaR/CVaR, built on FastAPI, Postgres, and Redis Recognition: Top 10% \(\#193/2,118\) at QuantStorm 2026, Top 15 at the SBI Hackathon \(Global Fintech Fest 2026\), and Top 10 Finalist at the AI for Sustainability Hackathon 2026\. 3rd year CSE @ TIET · Open to AI/ML, Software &amp; Cloud Engineering Summer Internships for 2027\. Also exploring quant developer and quant research roles in trading and fintech\. Email: parthmd018@gmail\.com

## Location

Greater Bengaluru Area

## AI stack

claude code

claude

cursor

gemini

langchain

langfuse

## Work experience

Co\-Founder &amp; CEO at Corvane, Oct 2026 \- Present · 2 mos, Bengaluru, Karnataka, India, Building Corvane in stealth, leading customer discovery, go\-to\-market and company direction for an early\-stage venture in the Software and AI space\. \- Driving outreach to potential customers, running discovery conversations, and turning early interest into the first design partners\. \- Setting strategy and priorities for the team, and representing the venture to mentors, incubators and investors, while keeping product details confidential\. \- Leading the design of Corvane's agentic AI workflows, the systems that read, check and draft for each shipment while keeping a person in charge of every decision\.

Technical Intern at FORTYTWO LABS, Aug 2026 \- Present · 4 mos, Pune City, Maharashtra, India

AI Engineer at IrisVision, Mar 2026 \- May 2026 · 2 mo, Hybrid, \-Designed and deployed an LLM\-powered agentic template generation pipeline with automated reasoning loops and memoised workflow decomposition, cutting project setup latency by 70% and eliminating manual configuration for 100% of new user onboarding flows \- Built multi\-LLM orchestration layer routing across Claude, GPT\-4, and Gemini with capability\-based dispatch, dynamic context management, and intelligent load balancing serving real production users \- Diagnosed and resolved a critical billing infrastructure bug by tracing root cause through payment\-flow logs; identified off\-by\-one error in credits ledger, patched and regression\-tested, restoring full monetisation pipeline within 24 hours

Marketing Member at Entrepreneurship Development Cell, TIET, Aug 2025 \- Dec 2025 · 5 mos

## Education

Thapar Institute of Engineering &amp; Technology

Narayana Junior College \- India

## Public links

- github: https://github\.com/PARTHDESHMUKH2005

[View the original profile](https://tal.club/meet/parth-mahesh-deshmukh)

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