About Me

// README.md — A brief look at who I am, what I've built, and where I've been.

01 — bio

README.md

README.md — sarveshbhatnagar

I'm Sarvesh Bhatnagar — driven by curiosity in coding and research. I'm a Machine Learning Engineer at Point72 in New York. Before that I was a senior software engineer at Tabs, and a software developer at Amazon, where I worked on ML infrastructure, LLM evaluation, notification services, and flexible authorization frameworks.

My work sits at the intersection of systems engineering and applied AI. I believe in consistent reading and writing, self reflection, confident humility, and a grounded sense of self worth.

Outside of work, I'm writing on introtoalgo.com, building side projects, hosting the Code Logic Podcast, or contributing to open-source.

I completed my Master's degree at the University of Michigan, where my thesis focused on OS3 — Open-Source Serverless Search. Prior to that, I started my journey at NMIMS University in 2016.

education/umich.edu

University of Michigan

Master of Science

Thesis: OS3 — Open-Source Serverless Search. Research on Serverless Computing.

education/nmims.edu.in

NMIMS University

Bachelor of Technology

Started coding and building here in 2016. Foundation of algorithms, systems and software engineering.

02 — timeline

git log --oneline

f8a1c0d
MLE @ Point72
sarvesh Jan 2026 — Present HEAD → main
Machine Learning Engineer at Point72 (asset management). New York, NY.
e7b2a91
Sr. Software Engineer @ Tabs
sarvesh Oct 2025 — Jan 2026
Platform and product engineering at an early-stage startup. New York.
a1f9c2e
Software Developer @ Amazon — Ads & Systems
sarvesh May 2022 — Oct 2025
Campaign Metadata Management, Insights Aggregation, Notification Service, ML Infrastructure for Ads, LLM Creative Compliance Evaluation, Flexible Auth system.
b8d3a11
Master's Thesis: OS3
sarvesh 2022 tag: v2.0
OS3 — Open-Source Serverless Search. Developed tooling and methodology to discover and search serverless functions across open-source platforms. Published at IEEE PerCom 2023.
c4e7b90
SDE Intern @ Amazon (Consumer Org)
sarvesh Summer 2022
Worked on consumer-facing systems at Amazon during the summer internship.
d6f2c43
Research — Serverless Computing @ UMich
sarvesh 2021–2022
Graduate research at the University of Michigan focusing on serverless computing, function discovery, and systems performance.
e9a8d15
Director @ RevoltronX
sarvesh 2020–2021
Led technical direction and community initiatives at RevoltronX.
f1b5e72
Co-founded Project Drive
sarvesh 2019 — Present
Co-founder & Head of Project Drive — a 27-member team focused on building community and collaborative projects.
g3c9f01
Code Logic Podcast — launched
sarvesh 2018 — Present
Started and hosted the Code Logic Podcast — conversations about software engineering, algorithms, and tech careers.
h7d4a88
First research papers published
sarvesh 2018 tag: research-v1
Published early research on sentiment analysis and community detection in social networks.
i2e6b55
introtoalgo.com — first post
sarvesh 2017 — Present
Launched introtoalgo.com — an accessible blog about algorithms, data structures and computer science fundamentals.
j0a1c00
init: started at NMIMS University
sarvesh 2016 tag: init
Began the journey — enrolled at NMIMS University, wrote first lines of code, discovered the love for programming.
03 — skills

skills.json

skills.json JSON 
{
  // Programming Languages
  "proficient": [
    "Python",
    "Dart",
    "C++",
    "Java"
  ],

  "familiar": [
    "JavaScript",
    "Haskell",
    "Lisp",
    "HTML/CSS"
  ],

  // Research & Technical Topics
  "topics": [
    "Serverless Computing",
    "Algorithms",
    "Data Structures",
    "AI / Machine Learning",
    "Community Detection",
    "NLP",
    "LLM Evaluation",
    "ML Infrastructure",
    "AI Reasoning"
  ],

  // Current role
  "current": {
    "company":   "Point72",
    "title":     "Machine Learning Engineer",
    "focus":     ["Machine Learning", "Applied AI", "Systems"],
    "open_to":   "interesting conversations"
  },

  // Beliefs
  "principles": [
    "Consistent reading & writing",
    "Self reflection",
    "Confident humility",
    "Grounded sense of self worth"
  ]
}