Pushpendra Singh Rathore profile photo 1 on Tal

Pushpendra Singh Rathore

Founder | Ex-Senior Software Engineer@Uber | Ex-JPMorgan | IIT Kharagpur | Building Voice Agents & Agentic AI Systems | Data Platform & AI Systems Consultant

Bengaluru

7+ years of work experience

Stealth Startup
Mar 20267 mosPresent

Bengaluru, Karnataka, India

Currently building AI-native products in stealth mode, focused on agentic AI, conversational voice agents, and intelligent shopping assistants. Our goal is to build AI systems that drive intent identification, real understanding, decision-making, and task completion-not just passive conversations.
Uber
Mar 20242 yrs 2 mosApr 2026

Bengaluru, Karnataka, India

Uber
Jun 20221 yr 10 mosMar 2024

Bengaluru, Karnataka, India

JPMorgan Chase & Co.
Feb 20211 yr 5 mosJun 2022

Bengaluru, Karnataka, India

JPMorgan Chase & Co.
Jul 20191 yr 7 mosJan 2021

India

Voltaire Capital
May 20183 mosJul 2018

Mumbai, Maharashtra, India

Trading Strategies development and Volatility modeling for High-frequency trading - Formulated momentum and mean reversion signals for intraday trading by analyzing the various patterns in 206 NSE stocks • - Created a python framework for daily price movement prediction using trading signals as features and Adaboost as the predictive algorithm - Created a tool for detecting volatility clusters in sectoral Indices of NSE, India using regression and time series modeling - Forecasted the daily and weekly volatility using symmetric and asymmetric Garch Models for major indices of NSE including Nifty50, NiftyBank, etc.

Pushpendra’s AI Stack

claude code
claude code
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claude
cursor
cursor
kiro
kiro
lovable
lovable
openai
openai

Education

Indian Institute of Technology, Kharagpur

Bachelor of Technology (B.Tech.), Electrical Engineering (Minor in Computer Science and Engineering)

Indian Institute of Technology, Kharagpur

20154 yrs2019

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Headline

Founder | Ex-Senior Software Engineer@Uber | Ex-JPMorgan | IIT Kharagpur | Building Voice Agents & Agentic AI Systems | Data Platform & AI Systems Consultant

About

I am a Data Platform and AI Systems Engineer with 7+ years of experience building large-scale distributed data systems, real-time analytics platforms, and machine learning infrastructure. At Uber, I led the data platform for Uber Reserve and multiple new mobility products, designing scalable data models, real-time pipelines, and analytics systems that powered pricing, forecasting, marketplace optimization, and international product launches. My expertise spans data architecture, distributed systems, event-driven platforms, cloud infrastructure, and ML data pipelines using Python, Java, Spark, Kafka, Flink, Hudi, Kubernetes, and AWS. Currently, I am building AI-native products in stealth mode, focused on conversational voice agents and intelligent shopping assistants for e-commerce. My work combines LLMs, agentic AI, retrieval systems, and scalable backend infrastructure to create production-ready AI experiences. I enjoy partnering with startups and enterprises to solve complex problems in data architecture, AI systems, real-time analytics, and scalable platform engineering.

Location

Bengaluru

AI stack

claude code

claude

cursor

kiro

lovable

openai

Work experience

Founder at Stealth Startup, Mar 2026 - Present · 7 mos, Bengaluru, Karnataka, India, Currently building AI-native products in stealth mode, focused on agentic AI, conversational voice agents, and intelligent shopping assistants. Our goal is to build AI systems that drive intent identification, real understanding, decision-making, and task completion-not just passive conversations.

Senior Software Engineer at Uber, Mar 2024 - Apr 2026 · 2 yrs 2 mos, Bengaluru, Karnataka, India

Software Engineer II at Uber, Jun 2022 - Mar 2024 · 1 yr 10 mos, Bengaluru, Karnataka, India

Associate Software Engineer at JPMorgan Chase & Co., Feb 2021 - Jun 2022 · 1 yr 5 mos, Bengaluru, Karnataka, India

Software Engineer at JPMorgan Chase & Co., Jul 2019 - Jan 2021 · 1 yr 7 mos, India

Quantitative Analyst at Voltaire Capital, May 2018 - Jul 2018 · 3 mos, Mumbai, Maharashtra, India, Trading Strategies development and Volatility modeling for High-frequency trading - Formulated momentum and mean reversion signals for intraday trading by analyzing the various patterns in 206 NSE stocks • - Created a python framework for daily price movement prediction using trading signals as features and Adaboost as the predictive algorithm - Created a tool for detecting volatility clusters in sectoral Indices of NSE, India using regression and time series modeling - Forecasted the daily and weekly volatility using symmetric and asymmetric Garch Models for major indices of NSE including Nifty50, NiftyBank, etc.

Education

Bachelor of Technology (B.Tech.), Electrical Engineering (Minor in Computer Science and Engineering), Indian Institute of Technology, Kharagpur