🏆 Rookie of the Quarter — Identity Services, Q3 2025

Hi, I'm Mohit Jindal

I build distributed systems that serve millions of customers. Shipped features that enabled 11,000+ family invitations in 3 days and improved platform reliability across multiple regions.

IIT Bombay · JEE Advanced Rank 711 · Published Researcher

Mohit Jindal

A bit about me

I'm a Software Development Engineer at Amazon where I build backend services that power account management and family sharing experiences for customers worldwide. Within my first quarter of joining, I was awarded Rookie of the Quarter across the entire Identity Services organization.

My annual review noted that I "significantly exceed SDE I expectations through exceptional technical delivery and ownership" — having launched a major product expansion within 6 months of joining as a new hire.

I graduated from IIT Bombay with a Dual Degree (B.Tech + M.Tech) in Electrical Engineering, with dual minors in Computer Science and Data Science. I secured All India Rank 711 in JEE Advanced (out of 1.2 million students).

Previously: Quantitative Research at WorldQuant (part-time), cancer classification research at Tata Memorial Hospital, and an award-winning Amazon internship.

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Rookie of Quarter
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JEE Advanced AIR
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IEEE Publications
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CPI at IIT Bombay

What I've Built

Jul 2025 — Present

Software Development Engineer

Amazon · Identity Services · Pune

Amazon Photos & 6-Member Family Expansion

  • Led the backend development for expanding Amazon Family from 2 to 6 members — enabling photo storage sharing, co-organizer management, and multi-region compliance
  • Built the member-limit enforcement system with parallel processing, enabling safe expansion while protecting service reliability across 3 regions (NA/EU/FE)
  • Delivered customer data compliance features handling sensitive deletion flows for 6+ scenarios with role-based validation
  • Fixed critical launch-blocking bugs that reduced service faults by 75% and improved API latency by 10ms
  • Successfully launched the project spanning 3 teams — 11,000+ family invitations in the first 3 days

Customer Experience Improvements

  • Simplified the family invitation flow by removing an unnecessary step — making it easier for customers to invite members
  • Added wallet-sharing visibility on member details — giving customers clarity on their shared payment methods
  • Fixed internationalization bugs affecting customers across multiple locales
JavaAWSDistributed SystemsMicroservicesReact
May — Jul 2023

Software Development Intern

Amazon · Core Transportation Technology · Hyderabad
  • Spearheaded carrier migration (TNTIT, SEUR, CORREOS EXPRESS) to improve shipping options for vendors across countries
  • Delivered 10+ feature upgrades optimizing retry policies and pipeline components
  • Awarded Pre-Placement Offer for exceptional performance
JavaAWSMicroservices
Jun 2024 — Jun 2026

Quantitative Research Consultant

Devised high-performance alpha strategies for US and China markets. Achieved Sharpe Ratio >3, Fitness >1.5, Drawdown <10%, and Returns >10% using price-volume and sentiment analysis. Top 0.5% in International Quant Championship (40,000 teams).
Alpha GenPythonStatistics
May 2024 — Jun 2025

Masters Research — Cancer Classification

Boosted cancer subtyping accuracy (AUC 0.81 → 0.87) for diffuse large B-cell lymphoma using deep learning on histopathology slides. Published at IEEE BIBE'24.
PyTorchMedical AIPublished
Dec 2022 — Jan 2023

Embedded Software Intern

Designed embedded systems for DRDO including thermal and night vision cameras. Programmed Spartan-7 SP701 FPGA board in C for video streaming applications.
CFPGADRDO

Academic & Side Projects

From IIT Bombay coursework, research, and personal exploration

👁️

OptiGuard — Retinal Health Monitoring

Swin-Transformer model for retinal disease detection surpassing State-of-the-Art (mAUC 0.761 vs SuperRetina's 0.755). Reverse knowledge distillation approach.

PyTorchMedical AISwin-T
📈

StockGuru — AI Market Predictions

LSTM-based trading model handling high-frequency, intraday, and interday scenarios. Generated 6x profit using historical OHLCV data across multiple stocks.

LSTMPythonTrading
🤖

RL — Bandits & MDP Planning

Thompson Sampling, UCB, KL-UCB for multi-armed bandits. Value Iteration, Linear Programming, and Howard Policy Iteration for MDP planning. Solved a multi-level billiards game.

PythonRLMDP
📝

AbstraxiNLP — Entity-Aware Summarization

Spacy NER + BART model achieving 98.9% precision on CNN dataset for entity-aware text summarization with integrated classification.

NLPBARTNER
🖼️

SharpVision — Image Restoration

Autoencoder network for image deblurring achieving PSNR of 30 dB on 24,000 images with only 75,651 parameters and 90.29% test accuracy.

AutoencoderPSNRRemote Sensing
🌐

GSoC — Manifold Geometry

Open-source contribution to Manifold — a C++ geometry library for topological robustness used in 3D printing and CAD applications.

C++Open SourceGSoC
📱

HighFive — Hostel Management App

Led development of a hostel app with Django + Flutter featuring biometric food tracking and RFID-based food waste analysis. Available on Google Play Store.

DjangoFlutterRFID

Nanodevice Simulation ⭐3

GaAs nanoelectric device behavior analysis on COMSOL multiphysics. IEEE-format publication on device characteristics.

COMSOLIEEEGaAs
View All 25 Projects on GitHub →

Research Publications

Classification and Morphological Analysis of DLBCL Subtypes in H&E-Stained Slides

24th IEEE International Conference on Bioinformatics & Bioengineering (BIBE'24) · Serbia

Ravi Kant Gupta, Mohit et al. Attention-based deep learning for lymphoma subtyping from histopathology slides — AUC improvement from 0.81 to 0.87.

FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch

12th IEEE International Conference on Big Data and Artificial Intelligence (BDA'24) · Washington D.C.

Sunny Gupta, Mohit et al. Novel federated optimization combining Nesterov acceleration with Newton sketch for communication-efficient distributed ML.

Read my blog posts on Medium →

Latest Writing

Automatically pulled from my Medium

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Technologies & Expertise

Languages

JavaPythonC++JavaScriptReactTypeScriptSQLMATLAB

Cloud & Backend

AWSDistributed SystemsMicroservicesDynamoDBSQS/SNSLambdaREST APIsCI/CD

Machine Learning

PyTorchTensorFlowComputer VisionNLPReinforcement LearningDeep Learning

Achievements

JEE Rank 711 / 1.2M3⭐ CodeChef (1750+)Top 0.5% IQCPre-Placement OfferRookie of Quarter

What people say

From peer feedback and annual reviews at Amazon

Exceeds Expectations

"Significantly exceeds SDE I expectations through exceptional technical delivery and ownership. Swiftly delivered complex features within months of joining."

Annual Review
🚀

Deliver Results

"Completed the Photos 6-Member Expansion project in 6 months as a new hire. Owned critical workstreams end-to-end — always at the forefront of delivering on time."

Peer Feedback
📚

Learn and Be Curious

"Rapidly ramped up on Amazon's complex distributed systems as a fresh college graduate and contributed immediately to production services."

Peer Feedback
🤝

Customer Obsession

"Displays extraordinary Customer Obsession — went beyond requirements during the Photos expansion and CX Papercuts projects to improve the customer experience."

Annual Review

Let's Connect

Open to interesting conversations about distributed systems, machine learning, and new opportunities.