Kamlesh Singh Bisht

Software Engineer

Bengaluru, Karnataka, India1 yr 11 mos experience

Key Highlights

Rated Specialist on Codeforces with 1000+ problems solved.
Top 4% on LeetCode with 1100+ problems solved.
Achieved best global rank of 41 on CodeChef.

Stackforce AI infers this person is a Full Stack Developer with expertise in Fintech and SaaS applications.

Contact

Skills

Core Skills

JavaReactFlaskAngular

Other Skills

AlgorithmsBootstrapC (Programming Language)C++Cascading Style Sheets (CSS)Computer NetworkingComputer ScienceData StructuresDockerElasticsearchHTML5JavaScriptLangChainLarge Language Models (LLM)MERN Stack

About

🎯 Specialist Programmer at Infosys | 🚀 Competitive Programmar I am currently working at Infosys as a Specialist Programmer, where I contribute as a Full Stack Developer with expertise in Java Spring Boot and React. I also interned at Infosys, during which I built a video semantic search platform and implemented a RAG workflow powered by Google FLAN-T5, enabling semantic retrieval and high-quality query responses. 🏆 Competitive Programming Highlights: • Codeforces: Rated Specialist | 1000+ Problems Solved • LeetCode: Rated Knight ( Top 4% ) | 1100+ Problems Solved • CodeChef: Rated 4★ | Best Global Rank 41 in Starters 59. • Best Global Rank 456 out of 29,000+ participants in Leetcode Biweekly Contest #111 • 2500+ Problems Solved across all major coding platforms. 🔍 I am actively open to networking, collaborations, and opportunities in full-stack or backend roles.

Experience

1 yr 11 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 11 mos

Current Experience

Infosys

2 roles

Specialist Programmer

Jul 2024 – Present · 1 yr 11 mos

Client: American Express
Built responsive and scalable web interfaces using React, Redux and Tailwind CSS, enhancing user experience.
Developed an auto-prediction feature using Elasticsearch and wrote backend APIs for real-time
consumption, improving internal team productivity by 40%.
Performed security-driven dependency upgrades in Java Spring Boot backend, eliminating 100% of
known vulnerabilities and ensuring secure releases.
Increased frontend module test coverage from 50% to 100%, by writing 10,000+ lines of code, ensuring
code correctness, reliability, and maintainability.
Managed branch deployments and resolved CI/CD failures in Github Actions, ensuring stability.

JavaSpring BootReactElasticsearchTailwind CSSRedux

Software Engineering Intern

Mar 2024 – Jun 2024 · 3 mos

Designed a RAG-based semantic video QA system, where video transcripts and metadata were retrieved using Google Video Intelligence API and used as context for Google FLAN-T5 Model.
Used Angular for UI & Flask for Backend.

Large Language Models (LLM)FlaskAngular