About Me

Software Engineer with 9+ years of experience building scalable data, analytics, and machine learning systems. At Amazon, delivered solutions that generated $100M in incremental monthly recurring revenue, cut operational costs by 25%, and accelerated ML model delivery by 66%. Earlier, led development of reporting and data processing tools that reduced computation costs and helped clients understand key metrics faster. Skilled in Java, Scala, Python, SQL, Kafka, Spark, React, and AWS, with a track record of turning complex data challenges into measurable business results.

What I’m Doing

  • Distributed Systems

    Building reliable, scalable services and event-driven systems that handle high-volume workloads.

  • Machine Learning Platforms

    Developing ML targeting and data features that improve advertising outcomes and speed up model delivery.

  • Analytics & Reporting

    Creating dashboards and reporting tools that make KPIs clear and help teams make informed decisions.

  • Data Engineering

    Optimizing data pipelines and processing systems to reduce costs and get new models and insights to users faster.

Resume

Experience

  1. Software Development Engineer · Amazon

    Jan 2022 — Present
    • Architected and deployed an ML-based targeting solution for non-recognized users, improving ad spend efficiency and driving $100M in incremental monthly recurring revenue.
    • Built executive KPI dashboards that surfaced system bottlenecks and reduced customer support complaints by 50%.
    • Led the re-architecture of internal ad sourcing services, improving reliability and scalability while reducing organization-wide operating costs by 25%.
    • Developed a centralized cross-functional reporting framework that increased advertiser adoption of ML-driven solutions by 25%.
    • Modernized data architecture and feature engineering pipelines, reducing end-to-end time-to-market for new ML models by 66%.
  2. Software Development Engineer · vPhrase Analytics Solutions

    Dec 2018 — Dec 2021
    • Designed and led development of a report generation mechanism that reduced company computation costs by at least 30% and customer time spent by 80%.
    • Led development of an in-house formula processor that improved client data-crunching efficiency by at least 60%.
    • Built a dashboard that helped clients understand key data KPIs in under 60 seconds, making information easier to parse.
    • Developed a queue-based mailing system to send generated PDF dashboards to more than 2,000 recipients at once.
  3. Assistant System Engineer · TCS

    Nov 2017 — Dec 2018
    • Worked on Siebel CRM systems for a Saudi Arabian telecommunications client, automating ticket processing and improving manual processing efficiency by 60%.

Education

  1. Bachelor of Computer Science · Birla Vishvakarma Mahavidyalaya

    2013 — 2017

Technical Skills

  • Languages & Data
    Java Scala Python JavaScript SQL PostgreSQL MySQL DynamoDB
  • Distributed Data Systems
    Kafka Apache Spark Amazon EMR Data Pipelines
  • Frameworks & Web
    Django Flask React Vue Node.js CSS SCSS LESS
  • Cloud & Platforms
    AWS Cloud Services Containerization

Contact

Contact Form