Jeet Sethia

Software / AI / Applied ML Engineer

Summary

Backend and applied ML engineer with 2 years and 8 months of experience building large-scale distributed systems and production-grade machine learning pipelines. Strong foundation in algorithms, system design, and cloud-native architectures. Proven track record of delivering high-impact optimizations across high-traffic services, including cost reduction, latency improvements, and data quality.

Overview

years of professional experience

Work History

Software Engineer (Backend, Applied ML and AI)

Keychain

09.2025 - Current

Designed and optimized LLM-based data pipelines to classify and enrich supplier intelligence, improving manufacturing decision-making and downstream analytics accuracy.
Built a distributed, fault-tolerant ML classification service processing 800M+ web pages to extract structured data for 700K suppliers at scale.
Trained and deployed a CPU-optimized multi-class classification model assigning 1,200+ Industries and product categories, successfully mapping 700K suppliers into the company's core ontology.
Developed LLM monitoring, evaluation, and quality control systems enabling reliable production Inference, drift detection, and consistently high-quality premium datasets.

Software Development Engineer -I

Amazon – Prime Video Studios and Tech

07.2023 - 09.2025

Optimized IPv6 data ingestion time from 35 hours to 25 minutes using EC2 parallelism, batching, and binary search over 16M+ ranges.
Built a runtime AWS AppConfig lever to block abusive VPN CIDRs during live events, including UEFA Champions League streams.
Migrated logging infrastructure for Tier 1 Prime Video services, saving $588K/ year in Infrastructure costs.
Improved client TPS for Prime Video Rental Services by 99.8% using SQS-based filtering on playback attributes.
Authored HLDs and LLDs for ingestion pipelines and debug bot systems; drove architecture through cross-team stakeholder alignment.
Designed and implemented a GraphQl-based IPv6 Geo-location Resolution API using Spring Boot backed by MySQL.

Education

B.Tech - Electrical Engineering

Indian Institute of Technology Kanpur

01.2023

Skills

System Design & Concepts: Apache Iceberg, Caching, Data lake, Data Structures and Algorithms, Distributed Systems, Knowledge Graphs, RAG Pipelines, SAGA Patterns, Stream Aggregation, VPC Peering, Computer Vision, IoT, MQTT, LLM, Machine Learning, Data Science, Serverless Architectures, Kafka, Event Driven Architectures

Programming Languages: C, C, Java, JavaScript, Kotlin, Python, TypeScript, Object Oriented Programming, SQL, MySQL,

Timeline