Utkarsh K.

Software Engineer

Hyderabad, Telangana, India0 mo experience

Key Highlights

Engineered a high-performance cryptocurrency trading platform.
Authored 300+ algorithmic solutions for Large Language Models.
Achieved top ranks in competitive programming contests.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI/ML and Web Development.

Contact

Skills

Core Skills

PythonC++React.jsJavascriptReact

Other Skills

JavaExpress.jsGitHTMLCSSTypeScriptNode.jsGoNext.jsPostgreSQLUnit TestingTimescaleDBEvent-Driven DesignRedisDocker

About

Software Engineer with a focus on backend systems and distributed architecture, currently pursuing M.Tech at IIIT Allahabad (CGPA 9.20, Rank 1 in specialization). I build high-performance systems from scratch. Most recently, I engineered a real-time cryptocurrency trading platform in Go capable of processing 5,000+ orders/sec with sub-2ms match latency — using an in-memory order book, Redis Streams for event sourcing, and WebSocket fan-out for real-time client updates. Previously at Scale AI as a Software Engineer, I authored 300+ production-grade algorithmic solutions in Python and C++ used to benchmark and improve Large Language Models across RLHF training pipelines. On the competitive programming side: → Codeforces Expert (Max: 1647) → LeetCode Knight (Max: 1966, Top 2.99% globally) → Meta Hacker Cup 2025 — Round 2 Qualifier (#670 globally) → ACM-ICPC 2020 Regionalist (Rank #86, Kanpur) Tech I work with: Go, Node.js, TypeScript, React, Next.js, PostgreSQL, Redis, Docker, AWS Currently open to full-time SDE roles (Backend / Full-Stack) — feel free to reach out or refer me! 📧 2022krutkarsh@gmail.com 🔗 github.com/utkarshkr-creator

Experience

0 mo

Total Experience

0 mo

Average Tenure

0 mo

Current Experience

Transgraph consulting pvt. ltd.

Software Engineer

Jun 2026 – Present · 0 mo · Hyderabad · On-site

Scale ai

Software Engineer

Oct 2023 – Aug 2024 · 10 mos · Remote

Worked as a Software Engineer on Scale AI's RLHF (Reinforcement Learning from Human Feedback) pipelines, contributing directly to the training and evaluation of Large Language Models.
▸ Authored 300+ production-grade algorithmic solutions in Python and C++ used to benchmark LLM code generation quality across training pipelines
▸ Designed automated validation scripts that systematically identified semantic errors and hallucination patterns in model outputs, improving overall output quality
▸ Built reusable React components and optimized Express.js backend services for internal tooling used in model evaluation workflows
▸ Applied strong CS fundamentals (O(n) complexity, modularity, edge case coverage) to ensure solutions met production-grade standards

PythonC++React.jsJava

Easywebes

Frontend Developer Intern

Nov 2022 – Dec 2022 · 1 mo · Remote

Built and shipped a production React web application from scratch, improving the company's conversion rate by 50% and contributing to a 20% revenue increase within one month.
▸ Developed responsive UI components using React, HTML, and CSS with a focus on performance and cross-browser compatibility
▸ Analyzed session data and user feedback to identify UX bottlenecks and redesign key user flows, improving average session duration by 20%
▸ Collaborated directly with stakeholders to iterate quickly on design and functionality based on real user behavior

GitJavaScript