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Yash Kamal Saxena

Software Engineer

Bareilly, Uttar Pradesh, India2 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Achieved 90% test coverage in unit testing.
  • Reduced API latency by 70-75% in optimization.
  • Engineered a chatbot leveraging advanced AWS technologies.
Stackforce AI infers this person is a Software Engineer with expertise in Backend and Cloud technologies.

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Skills

Core Skills

Spring BootMachine Learning AlgorithmsTestingData AnalysisData MigrationApi DevelopmentAmazon Web Services (aws)BackendChatbot DevelopmentNetworkingReact.jsFront-end Development

Other Skills

API GatewayAWS BedrockAWS CDKAWS LambdaAmazon BedrockBrand AwarenessCognitoDjangoDjango REST FrameworkDocker ProductsEncodersExploratory Data AnalysisFlaskGoogle Kubernetes Engine (GKE)JUnit

Experience

2 yrs 9 mos
Total Experience
9 mos
Average Tenure
1 yr 5 mos
Current Experience

Ukg

2 roles

Software Engineer

Jul 2025Present · 11 mos · Noida, Uttar Pradesh, India

Software Engineer Intern

Jan 2025Jul 2025 · 6 mos · Noida, Uttar Pradesh, India

  • Implemented unit test cases for the Gateway and Slot services using JUnit, achieving approximately 90% test
  • coverage.
  • Conducted Exploratory Data Analysis (EDA) on Accrual codes to derive insights for a recommendation engine,
  • identifying key patterns and optimizing data preprocessing for improved accuracy and relevance.
  • Migrated the encoding script from MongoDB to PPAS, optimizing data reads/writes and offloading concatenation
  • to PPAS via joins, reducing latency from 20 mins to 2-3 mins for 700K+ rows.
  • Implemented batch insertion for 700K+ encoded rows into PPAS, significantly improving performance and effi-
  • ciency.
  • Migrated data encoding operations from MongoDB to PPAS, optimizing the encoding script performance by 30%.
  • Refactored and enhanced core algorithm in the recommendation engine, reducing API latency from 6 mins to 1.5
  • mins ( 70–75% optimization).
  • Improved exception handling and logging mechanisms across multiple ICP repositories, boosting system robustness
  • and maintainability.
Spring BootFlaskMachine Learning AlgorithmsEncodersPostgreSQLMongoDB+3

Mentor control

Software Engineer Intern

Jan 2024May 2024 · 4 mos · Pune, Maharashtra, India · Remote

React.jsFront-End DevelopmentSpring BootSoftware Deployment

Emendo

Software Engineer Intern

Nov 2023Oct 2024 · 11 mos · San Francisco, California, United States · Remote

  • Engineered Agent based RAG chatbot with Langchain and AWS Bedrock, leveraging FAISS for optimized vector
  • embedding storage and retrieval, and integrated Langsmith for improved model reasoning analysis.
  • Designed and implemented robust APIs using AWS Lambda, API Gateway, Cognito, and AWS Cloud Development
  • Kit (CDK), enhancing system security and performance.
  • Contributing to a serverless, event-driven backend infrastructure, drafting comprehensive unit tests that reduced
  • bugs by 40%, bolstering system reliability.
Amazon Web Services (AWS)TypeScriptPython (Programming Language)Large Language Models (LLM)Amazon BedrockBackend

Cisco

Cisco Campus Ambassador

Aug 2023Jun 2024 · 10 mos · India · Remote

NetworkingBrand AwarenessPacket Tracer

Rajat agrawal creators

Backend Development Intern

Jun 2023Sep 2023 · 3 mos

API DevelopmentBackendDjangoDjango REST FrameworkSQLitecPanel

Education

Indian Institute of Information Technology Una

Bachelor of Technology - BTech — Computer Science and Engineering

Nov 2021Jun 2025

Brij Bhushan Lal Public School

Intermediate — PCM+CS

Jan 2018Jan 2020

Brij Bhushan Lal Public School

High School

Apr 2017Mar 2018

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