Amul Badjatya profile photo 1 on Tal

Amul Badjatya

Senior Product Manager turned Product Engineer

Bengaluru

15+ years of work experience

wandlore labs
Jun 20262 moPresent

Bengaluru

Short term contracts as a product engineer
Open Source Projects
Mar 20262 moMay 2026

Bengaluru

Took a 2 month sabbatical to focus solely on Rust OSS contributions https://github.com/that-in-rust/ 1. Got a PR merged in Apache Iggy https://github.com/apache/iggy/pull/2815 2. Parseltongue rust LLM companion : https://github.com/that-in-rust/parseltongue-rust-LLM-companion Parseltongue is my attempt at building a LSP for LLMs ( not humans ) It parses all of the code to build a Interface Signature Graph of the codebase, thus compressing the code to a higher abstraction similar to LLD. The reason this is different from ASTs is that only public interfaces are considered. And you can query this dependency graph using local http API queries ( screenshot attached ), thus achieving faster search / context exploration with fewer tokens because you now have a map of the codebase with forward calls, reverse calls etc. helping the LLMs reason better 3. knight bus graph walker https://github.com/that-in-rust/knight-bus-graph-walker a graph walking runtime which beats Neo4j by 5x in terms of peak RAM used all graph walking libraries do in RAM compute - but my design with CSR + direct traversal arithmetic does it in 235 MB for a 2GB dataset vs 1GB RAM used by neo4j
realfast
Feb 20261 moFeb 2026

Bengaluru

LLM Driven Developer for enterprise legacy codebase
Target
Apr 20205 yrs 11 mosFeb 2026

Bengaluru, Karnataka

Evolving a portfolio of products which enable sample management & image processing workflows for our online channel, which generates double-digit billion $ revenue
Gojek
Apr 20191 yrMar 2020

Bengaluru Area, India

Created a central platform which helped various gojek services incentivize relevant habits for one million + driver partners in Indonesia
Electronic Arts
Jul 20153 y 2 moSep 2018

Hyderabad

Joined as a Product Analyst. Promoted to Product Manager position. ❉ EA Monopoly Slots (Jul 2015 - Oct 2016) ❉ High ARPDAU Social Casino Game → In 10 months, delivered Incremental ARPDAU of 15%+ → Spender Conversion rate increase of 20%+ → Launched Dynamic Lobby feature which increased D2 retention by 3.5 % → Launched personalised monetisation offers through Lobby which increased total spender conversion by 15%+ (e.g. starter/whale pack) → Launched Piggy Bank feature based on Loss Aversion mechanic which increased new spender conversion by 18% - In-Game Economy Balancing (Coins/Diamonds) - Player Progression Balancing (Balancing XP curve for retention & monetization) - Spend behaviour based segmentation analytics (Whales, Dolphins, Minnows, Non-Spenders) - Engagement behaviour based segmentation analytics (high rollers, time-in-game) ❉ Plants vs Zombies + Bejeweled Classic (Jan 2017 - Sep 2018) ❉ High installs & double digit MAU casual games → Portfolio level optimizations delivering revenue 10% above fiscal target → Designed and optimized 2 New Features which drove an incremental ARPDAU bump of 22%+
Flipkart
Jul 20141 yJul 2015

Bengaluru

→ Creation of fraud risk rules for live transactions leading to cost savings of~$4MM annually → Consulting business partners from different parts of large supply chain to help them drive their day-to-day decisions using analytics (lead team of 3)
Axtria - Ingenious Insights
May 20122 y 2 moJul 2014

Gurgaon

→ Worked on 6+ engagements and helped convert a couple of key pilot engagements to long-term engagements (double digit $MM rev.) → Consequentially promoted twice (consecutively) and was awarded the first ever Axtria Value Ambassador award → Mentored 2-3 new hires each quarter as I moved from one mature engagement to the next pilot
WNS
Jun 201111 moMay 2012

Gurgaon

→ Marketing analytics for a direct bank: Identified a cross sell segment with 2x the expected response rate and ~2.5x average income (CMO level recommendations)
Mu Sigma Inc.
Oct 20107 moMay 2011

Bengaluru

→ Identified customers of a large American bank likely to purchase AD&D Insurance → Measured effectiveness of FSI & other marketing vehicles for a US based IT Giant
GitHub
@amuldotexe
YouTubeyoutube.com/@amuldotexe

Amul’s AI Stack

codex
codex
notebooklm
notebooklm
openai
openai
Wispr Flow
Wispr Flow

Education

National Institute of Technology Raipur

Bachelor of Technology - BTech, Computer Science Engineering

National Institute of Technology Raipur

20064 yrs2010

XII, PCM

Delhi Public School Bhilai

199114 yrs2005

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Amul Badjatya on Tal

Headline

Senior Product Manager turned Product Engineer

About

Total 15+ years of experience driving impact in enterprises by enabling level-headed decision making grounded in qualitative & quantitative insights Phase 4: 2026 - Present : Working as a product engineer on contract + rewriting Neo4j in Rust Phase 3: 2020-2025 : Evolving products which enable internal B2B creative-content workflows for a Fortune 30 retailer Phase 2: 2015-2020: Product Management of mobile apps/games ranging across different life stages of the apps --> Prototyping & soft launch of new casual games from scratch --> Enhancing retention & LTV of mid-stage & legacy mobile apps with heavy existing DAU/Revenue streams through new feature launches & iterative optimisation of existing features Phase 1: 2010-2015: Hands-on data analytics consultant institutionalising data driven problem solving (SAS/SQL) for Fortune 100 Banking & E-Commerce clients

Location

Bengaluru

AI stack

codex

notebooklm

openai

Wispr Flow

Work experience

Product Engineer at wandlore labs, Jun 2026 - Present · 2 mo, Bengaluru, Short term contracts as a product engineer

Rust OSS Contribution Sabbatical at Open Source Projects, Mar 2026 - May 2026 · 2 mo, Bengaluru, Took a 2 month sabbatical to focus solely on Rust OSS contributions https://github.com/that-in-rust/ 1. Got a PR merged in Apache Iggy https://github.com/apache/iggy/pull/2815 2. Parseltongue rust LLM companion : https://github.com/that-in-rust/parseltongue-rust-LLM-companion Parseltongue is my attempt at building a LSP for LLMs ( not humans ) It parses all of the code to build a Interface Signature Graph of the codebase, thus compressing the code to a higher abstraction similar to LLD. The reason this is different from ASTs is that only public interfaces are considered. And you can query this dependency graph using local http API queries ( screenshot attached ), thus achieving faster search / context exploration with fewer tokens because you now have a map of the codebase with forward calls, reverse calls etc. helping the LLMs reason better 3. knight bus graph walker https://github.com/that-in-rust/knight-bus-graph-walker a graph walking runtime which beats Neo4j by 5x in terms of peak RAM used all graph walking libraries do in RAM compute - but my design with CSR + direct traversal arithmetic does it in 235 MB for a 2GB dataset vs 1GB RAM used by neo4j

Lead Software Engineer at realfast, Feb 2026 - Feb 2026 · 1 mo, Bengaluru, LLM Driven Developer for enterprise legacy codebase

Senior Product Manager at Target, Apr 2020 - Feb 2026 · 5 yrs 11 mos, Bengaluru, Karnataka, Evolving a portfolio of products which enable sample management & image processing workflows for our online channel, which generates double-digit billion $ revenue

Product Manager (Level 3) at Gojek, Apr 2019 - Mar 2020 · 1 yr, Bengaluru Area, India, Created a central platform which helped various gojek services incentivize relevant habits for one million + driver partners in Indonesia

Product Management at Electronic Arts, Jul 2015 - Sep 2018 · 3 y 2 mo, Hyderabad, Joined as a Product Analyst. Promoted to Product Manager position. ❉ EA Monopoly Slots (Jul 2015 - Oct 2016) ❉ High ARPDAU Social Casino Game → In 10 months, delivered Incremental ARPDAU of 15%+ → Spender Conversion rate increase of 20%+ → Launched Dynamic Lobby feature which increased D2 retention by 3.5 % → Launched personalised monetisation offers through Lobby which increased total spender conversion by 15%+ (e.g. starter/whale pack) → Launched Piggy Bank feature based on Loss Aversion mechanic which increased new spender conversion by 18% - In-Game Economy Balancing (Coins/Diamonds) - Player Progression Balancing (Balancing XP curve for retention & monetization) - Spend behaviour based segmentation analytics (Whales, Dolphins, Minnows, Non-Spenders) - Engagement behaviour based segmentation analytics (high rollers, time-in-game) ❉ Plants vs Zombies + Bejeweled Classic (Jan 2017 - Sep 2018) ❉ High installs & double digit MAU casual games → Portfolio level optimizations delivering revenue 10% above fiscal target → Designed and optimized 2 New Features which drove an incremental ARPDAU bump of 22%+

Senior Business Analyst at Flipkart, Jul 2014 - Jul 2015 · 1 y, Bengaluru, → Creation of fraud risk rules for live transactions leading to cost savings of~$4MM annually → Consulting business partners from different parts of large supply chain to help them drive their day-to-day decisions using analytics (lead team of 3)

Senior Associate at Axtria - Ingenious Insights, May 2012 - Jul 2014 · 2 y 2 mo, Gurgaon, → Worked on 6+ engagements and helped convert a couple of key pilot engagements to long-term engagements (double digit $MM rev.) → Consequentially promoted twice (consecutively) and was awarded the first ever Axtria Value Ambassador award → Mentored 2-3 new hires each quarter as I moved from one mature engagement to the next pilot

Business Analyst at WNS, Jun 2011 - May 2012 · 11 mo, Gurgaon, → Marketing analytics for a direct bank: Identified a cross sell segment with 2x the expected response rate and ~2.5x average income (CMO level recommendations)

Business Analyst at Mu Sigma Inc., Oct 2010 - May 2011 · 7 mo, Bengaluru, → Identified customers of a large American bank likely to purchase AD&D Insurance → Measured effectiveness of FSI & other marketing vehicles for a US based IT Giant

Education

Bachelor of Technology - BTech, Computer Science Engineering, National Institute of Technology Raipur

XII, PCM, Delhi Public School Bhilai

Public links

github: https://github.com/amuldotexe

youtube.com: https://youtube.com/@amuldotexe