---
title: "Piyush Verma - Professional development in Bengaluru | Tal"
description: "Meet Piyush Verma, AI Engineering Leader & Architect | ex-Draup Data Science Manager | Building Sovereign AI & High-Throughput Inference Systems | IIT Delhi based in Bengaluru. AI stack includes anthropic apis, cursor, and gemini. Explore public work links including github."
image: "https://tal.club/meet/piyush-verma-3/share-image"
---

# Piyush Verma on Tal

## Headline

AI Engineering Leader & Architect \| ex\-Draup Data Science Manager \| Building Sovereign AI & High\-Throughput Inference Systems \| IIT Delhi

## About

I architect AI systems that solve high\-gravity problems at an internet\-scale\. My engineering philosophy is built on logical rigor and high agency—prioritizing system physics and performance over high\-level abstractions\. Whether it’s managing 10\+ concurrent production systems or optimizing the inference layer, my focus is on building "Sovereign AI" that is both explainable and efficient\. The Track Record: Scalability & Leadership At Draup, I transitioned from an individual contributor to a Data Science Manager, leading a team of 6 engineers with a 100% retention rate over 2\+ years\. \- Extreme Scale: Architected systems processing 250M\+ profiles and 100M\+ Job Descriptions\. \- Inference Engineering: Optimized high\-throughput engines using vLLM with custom C\+\+ GLIBCXX patches, achieving 50\+ skill complexity scores per second and a 40% reduction in costs\. \- Algorithmic Rigor: Reduced prediction error from 25% to 5% in global compensation models through synthetic imputation and latent curve reconstruction\. The Current Phase: Strategic Sabbatical I am currently on a Strategic Sabbatical in which my time includes structured daily study blocks to evolve my technical stack\. This is an intentional "Deep Work" period focused on: \-SSMs & State\-of\-the\-Art Architectures: Researching Mamba, Zamba, and Graph\-RAG for high\-fidelity reasoning\. \- Agentic Orchestration: Refining Multi\-Agent frameworks using LangGraph and Leiden Clustering for complex clinical and talent intelligence\. \- System Efficiency: Pushing the boundaries of 4\-bit quantization and high\-TPS local inference\. I value direct\-approach communication and am looking to connect with teams building at the intersection of mathematical rigor and scalable AI infrastructure\. Areas of Deep Interest: GNNs, Multi\-Agent Systems, High\-Throughput Inference, and Technical Product Roadmapping\.

## Location

Bengaluru

## AI stack

anthropic apis

cursor

gemini

langgraph

langsmith

Unstructured

## Work experience

Professional development at Career Break, Apr 2026 \- Present · 5 mos, Bengaluru, Karnataka, India, Currently undertaking a disciplined, self\-designed sabbatical focused on technical evolution and sovereign AI research\. I have implemented a rigorous daily protocol designed to prioritize long\-term logical growth over short\-term benefits\. Current Technical Research & Development: \- Daily study blocks focused on mastering advanced machine learning architectures, including State Space Models \(SSMs/Mamba\) and GNN\-augmented Knowledge Graphs\. \- Developing high\-throughput inference protocols utilizing vLLM with custom C\+\+ library patches to optimize token generation at scale\. \- Refining Graph\-RAG implementations for complex reasoning tasks, specifically focusing on "Stubborn Search" recursive protocols\.

Data Science Manager at Draup, Oct 2025 \- Mar 2026 · 6 mos, On\-site, \- Led a high\-performance team of 6 Data Scientists, overseeing the end\-to\-end lifecycle of 10\+ concurrent DS/ ML projects from conceptualization to production deployment\. Mentored 3 junior Data Scientists to promotion\. \- Owned hiring for the team; built a 6\-person roster with 100% retention over 2\+ years\.

Data Analyst 4 at Draup, Feb 2025 \- Sep 2025 · 8 mos, On\-site, \- Skill Intelligence Architect \(SIA\): Designed an LLM\-based system to quantify skill complexity for 100M\+ Job Descriptions\. Optimized inference to process 50\+ skill complexity scores per second using vLLM, achieving 94% accuracy on benchmarked skill classifications \(reduced processing cost by 40%\)\. Developed a privacycompliant "clean\-room" distillation pipeline that leveraged an intermediate auditor model to generate verified synthetic training data, effectively decoupling public model weights from proprietary enterprise data\. \- Candidate Recommendation Model: Architected a high\-precision candidate recommendation engine utilizing LLM entity extraction and semantic embedding similarity to bridge the gap between 100M\+ JDs and 250M\+ profiles\. Engineered a multi\-stage scoring framework incorporating skill intersection, talent flow analytics, and a custom power decay function for experience proximity weighting\. Optimized retrieval through multi\-level Elasticsearch filtering & weighted recommendation logic to deliver high\-signal hiring leads; 30% increase in user engagement\.

Data Analyst 3 at Draup, Feb 2023 \- Feb 2025 · 2 yrs 1 mo, Hybrid, \- Basepay Estimation Model: Built a unified compensation engine by fusing fragmented salary data with profile history to reconstruct cost\-vs\-experience curves, and engineered a synthetic imputation model to predict benchmarks for sparse data intersections; reduced prediction error from 25% to 5%\. Developed a unified "Persona Valuation Model," assigning granular weights to multi\-dimensional filters \(skills, education, experience, etc\.\) to create a consistent, attribute\-driven predictive framework for global salary estimation\. \- Org Structure Construction: Constructed organizational hierarchies for 50K\+ companies using FAISS\-based embedding search and a multi\-factor scoring heuristic—integrating seniority deltas, business functions, and location proximity; 80% accuracy on manager\-report matching; automated reporting for 10\+ clients\.

Career transition at Career Break, Oct 2022 \- Jan 2023 · 4 mos, Bengaluru, Karnataka, India, I am currently preparing myself to become a Data scientist/Financial Analyst during this current career transition phase\.

Senior Business Analyst at RedSeer, Mar 2022 \- Sep 2022 · 7 mos

Program Manager\-Special Projects at Dr\. Reddy's Laboratories, Nov 2021 \- Feb 2022 · 4 mos, Baddi, Himachal Pradesh, India

Technical Trainee, Young Leadership Development Programme at Dr\. Reddy's Laboratories, Aug 2020 \- Oct 2021 · 1 yr 3 mos, Hyderabad, Telangana, India

## Education

Bachelor of Technology, Chemical Engineering, Indian Institute of Technology, Delhi

## Public links

- github: https://github\.com/PiyushVerma18

[View the original profile](https://tal.club/meet/piyush-verma-3)

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