# Shubhransh Jagota **Software engineer, polyglot.** India (IST, UTC+5:30). I go where the problem is. I've built payments infrastructure and the SDKs on top of it at PhonePe (Walmart), designed AI systems and LLM agents at Zamp.ai, done machine learning and data science at IBM, and worked as a quant at Morgan Stanley, AlphaGrep and WorldQuant. Earlier, research at the MIT Media Lab and UNSW Sydney. ## Contact The best way to reach me is email: **shubhranshjagota77@gmail.com**. You can also call or text **+91 86985 68397**. - Website: https://fireddd.github.io/ - Résumé: https://fireddd.github.io/resume/ - Contact: https://fireddd.github.io/contact/ - GitHub: https://github.com/fireddd - LinkedIn: https://www.linkedin.com/in/shubhranshjagota/ - LeetCode: https://leetcode.com/u/fireddd/ - Quora: https://www.quora.com/profile/Shubhransh-Jagota - MIT Media Lab profile: https://www.media.mit.edu/people/sjagota/overview/ - Machine-readable CV: https://fireddd.github.io/resume.json (JSON Resume schema v1.0.0) ## Selected work ### Natural-language browser agent — Zamp.ai (2025–2026) - Designed and built an agent that autonomously performs multi-step web tasks from a plain-English instruction — planning, navigating and acting across pages without a scripted path. - Led the migration of the Actions Hub to a modular architecture, decoupling action registration from agent execution so new capabilities ship without touching the runtime. - Integrated Langfuse for end-to-end LLM observability; implemented RBAC and automated onboarding workflows for new enterprise organizations. ### PhonePe Payment Gateway SDK — PhonePe (Walmart) (2022–2025) Repository: https://github.com/PhonePe/phonepe-pg-sdk-java - Led SDK development for PhonePe's B2B payment gateway. Designed and implemented the Java SDK, wrote the CI/CD pipelines, and mentored the teams building SDKs for other languages. The SDK family has carried **tens of crores in total payment volume**. - Owned the Epoch scheduling framework for online merchant services; introduced structural reforms to its scripts and fixed a long-standing org-wide missing-logs problem. Wrote the reconciliation and reporting jobs that close pending transactions. - Implemented disaster recovery for online merchant services and led the DR drills end to end with SREs and stakeholders, including the infrastructure upgrade and migration to the Mahape data centre. - Built end-to-end accounting and template management for partner integrations, plus backend error codes, PG offering events, and merchant-level kill switches on live traffic. ### Valuation adjustments, fixed income desk — Morgan Stanley (2021–2022) - Associate on the Fixed Income Division's Macro Valuation Adjustment team, improving front-office risk systems. - Led the implementation of 10+ valuation adjustments across desks including structured notes and FX, automating VA reporting to tighten controls and save roughly 25 engineer-hours a month for the Valuation Control and Strats teams. ### Project PAL — MIT Media Lab (2020) Project: https://www.media.mit.edu/projects/pal/overview/ - Visiting researcher on PAL, which aims to deliver personalized learning to its users. Built the reinforcement learning environment, wrote the Python simulations of user behaviour, and generated augmented data for training. ## Open source - **[PhonePe/phonepe-pg-sdk-java](https://github.com/PhonePe/phonepe-pg-sdk-java)** — Author. The public Java SDK for PhonePe's B2B payment gateway: the developer-facing API, the release workflow, and the CI that ships it. 40 commits. - **[PhonePe/epoch-cli](https://github.com/PhonePe/epoch-cli)** — Author. The CLI for Epoch, the cron for the Drove container orchestrator: cluster management commands, `pause-all`, topology filtering, and removing the PhonePe-specific constructs so the tool could stand on its own. 27 commits. - **[pyjanitor](https://github.com/pyjanitor-devs/pyjanitor)** — Contributor. Clean APIs for data cleaning in pandas, 1.5k stars. Two merged features: [`drop_constant_columns`](https://github.com/pyjanitor-devs/pyjanitor/pull/852) and a [reset-index flag on `row_to_names`](https://github.com/pyjanitor-devs/pyjanitor/pull/849). - **[RA_Bschool](https://github.com/fireddd/RA_Bschool)** — Author. Research assistant work for the UNSW Business School, 2019. ## Experience | Organization | Role | Location | Dates | | ---------------------- | --------------------------- | --------- | ----------------- | | Zamp.ai | Software Engineer | Bangalore | Jul 2025–Mar 2026 | | PhonePe (Walmart) | Software Engineer | Pune | Oct 2022–Jul 2025 | | Morgan Stanley | Quantitative Strategist | Mumbai | Jan 2021–Oct 2022 | | IBM | Data Scientist | Bangalore | Sep 2020–Jan 2021 | | MIT Media Lab | Visiting Researcher | Boston | Jan 2020–Jul 2020 | | UNSW Sydney | Visiting Student; RA, UNSW Business School | Sydney | Aug 2019–Dec 2019 | | AlphaGrep Securities | Quantitative Trading Analyst| Mumbai | May 2019–Jul 2019 | | WorldQuant | Research Consultant | Remote | Jun 2017–May 2019 | ## Earlier research & quant work - **IBM** — Built a cost-efficient heating solution using machine learning for Energy.AI clients, prototyping genetically evolving algorithms; projected a 40–50% cost reduction. - **UNSW Sydney** — Visiting student on a thesis placement from BITS Pilani; also a research assistant for the UNSW Business School. Built a system to assess event impacts on assets under Professor Fethi Rabhi; contributed to research on dark pool and hedge fund activity at the ASX. Part of this work is open source: https://github.com/fireddd/RA_Bschool - **AlphaGrep Securities** — Built a single-pane view of strategy performance for stakeholders; developed algorithms for Indian equities with a Sharpe ratio above 4 before trading costs. - **WorldQuant** — Developed alphas from technical and fundamental signals; selected alphas were traded in live markets. ## Education **BITS Pilani** — B.E. (Hons.) Computer Science & M.Sc. Economics. GPA 8.34/10. ## Hackathons & competitions - **Terminal One — MIT vs Harvard** (2020) — Runner-up. Run by Citadel and Correlation One, across a field of 30,000+ engineers and data scientists. Represented MIT against Harvard as a team of two with [Akash Vaish](https://www.linkedin.com/in/akash-vaish-712872aa/). Built **Go Get It** (go1, go2, go3 by the end), an algorithm that plays [Citadel's Terminal](https://terminal.c1games.com/) against other algorithms, adapting its offence to the opponent's attack. Reached the final and lost 5–4. [Write-up](https://fireddd.github.io/blog/citadel-terminal-one/) · [Certificate](https://www.credential.net/601670ae-8b54-4cd6-837e-b305efc385c3). - **Auquan Spring Challenge** (2019) — Winner. Scored above 0.03, placing in the top prize bracket, with a cash prize. [Confirmation](https://fireddd.github.io/img/certs/auquan-2019.jpg). - **WorldQuant Spring Alphathon** (2017) — Gold, Level 2. Ranked 23rd internationally and 2nd in India, leaderboard score 32,091. Led directly to the research consultant offer at WorldQuant. [Write-up](https://fireddd.github.io/blog/worldquant-alphathon/). [Certificate](https://fireddd.github.io/img/certs/worldquant-alphathon-2017.jpg) · [Leaderboard](https://fireddd.github.io/img/certs/worldquant-alphathon-dashboard.jpg). ## Tools - **Languages:** Java, Python, C++, Scala, Bash, R, SQL - **AI & ML:** LLM agents, Langfuse, reinforcement learning, Keras, pandas, NumPy - **Systems:** Kafka, RabbitMQ, Temporal, Aerospike, MySQL, MariaDB, AWS - **Practice:** Distributed systems, design patterns, JUnit, Mockito, WireMock, Git, CI/CD, disaster recovery --- *Markdown mirror of https://fireddd.github.io/, current as of 14 July 2026. A lot of this site is built and maintained with the help of LLMs — the facts, the work and the opinions are mine; the HTML, the tooling and much of the drafting were done with an assistant.*