About me

Hey there! I'm Rishabh, a tech enthusiast with over 3 years of experience designing cutting-edge machine learning models and developing rock-solid data pipelines.

I thrive at the crossroads of data science, machine learning, and software engineering. Whether it's crafting ingenious algorithms, uncovering hidden data gems, or building scalable systems, I’m all about transforming innovative ideas into reality.

When I'm not deep in code, you’ll find me solving Rubik's cubes blindfolded, running marathons, or baking the perfect brownies.

What i'm doing

  • design icon

    Data Science

    Big Data
    Machine Learning
    Data Engineering
    Data Pipelines
    Insightful Analysis

  • mobile app icon

    Artifical Intelligence

    Deep Learning
    Natural Language Processing
    Computer Vision

  • Web development icon

    Systems

    Distributed Systems
    Unix Systems Programming

Work in Progress Projects

  • Sustainable Datacenter Server Lifecycle Management

    Sustainable Datacenter Server Lifecycle Management

    Developing an Advisory Tool for Businesses to Optimize Datacenter Server Lifespan by optimising Carbon Costs for Maximum Sustainability

  • Implementing RAFT Consensus Algorithm in Go

    Implementing RAFT Consensus Algorithm in Go

    Working on a robust implementation of the RAFT consensus algorithm in Go to ensure distributed systems' reliability and fault tolerance.

  • Kaggle

    Kaggle : Create an AI capable of solving reasoning tasks it has never seen before

    Exploring and Developing AI systems that generalize to novel problems, aiming to improve AGI benchmarks where current AI scores significantly lag behind human performance.

Resume

Education

  1. Indian Institute of Technology, Kanpur

    2015 — 2019
  2. Stony Brook University

    2023 - 2025

Experience

  1. Autonomy Intern - Data Science

    May Mobility Jul 2024 - Present

    Working on building automation pipelines for data visualisation and model predictions.

  2. Graduate Research Assistant

    Stony Brook University Jun 2024 - Present

    Developing an Advisory Tool for Businesses to Optimize Datacenter Server Lifespan by optimising Carbon Costs for Maximum Sustainability.

  3. Data Science and Analytics

    PhonePe June 2020 - Jul 2023

    Backend Data Modeling : Designed pipeline, wrangled, and maintained over 100 TB of transactional data from Hadoop distributed file system, ensuring data consistency and accuracy for downstream tasks.
    Enhanced Algorithm Efficiency : Optimized the killswitch algorithm, significantly reducing transaction loss by 6%.
    Anomaly Detection System : Developed an IQR-based anomaly detector, reducing the time to identify irregularities in app version rollouts from 4 days to half a day.
    User Activity Enhancement : Developed a Competitor Churned User Identifier, which increased new user activity and user to customer conversion rates.
    Model Development for Merchant Support : Designed and implemented models for supporting over 40 million merchants, focusing on monthly market strategies, agent payout optimization, and fraud detection.
    Modelling Deployment Strategy : Predicted optimal merchant targets for smart speaker deployment, strategically placing 2 million devices to maximize transactions per merchant.
    Automation and Reporting : Automated profit and loss reporting, reducing manual labor by 60 man-hours monthly. Streamlined daily analytics, cutting manual intervention from 9 hours per day to zero.

My skills

  • SQL
    99%
  • Python
    80%
  • C/C++
    70%
  • Go
    60%

Portfolio

Work in Progress : I am currently working on cleaning up and documenting all the work from previous projects.

Contact

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