Headline

Tech Lead @ Rezolve Ai | Agentic AI Systems | Multi-Agent Platforms | LLM Infrastructure

About

I’m a Software Engineer and early-career Tech Lead building enterprise AI systems. My work focuses on applied AI, particularly: • Multi-agent and voice-based AI systems • LLM-powered backend platforms (RAG, orchestration, tool execution) I’ve owned features end-to-end from architecture and backend design to model integration and production deployment and have shipped systems used by real customers. Alongside industry work, I have a strong algorithmic background: • Codeforces Specialist | LeetCode Knight (Top 5%) • ACM ICPC Regionalist 2023 • TCS CodeVita Global Rank 161 / 1.3L+ 2024 I’ve also been a finalist or winner at multiple national-level hackathons, validating my ability to execute under time pressure. I’m particularly interested in AI systems at the intersection of learning, decision-making, and human interaction, with a focus on how models behave over time once deployed. I care deeply about robustness, observability of learning dynamics, and the long-term stability and alignment of systems operating in real environments.

Location

Bengaluru

AI stack

claude

elevenlabs

langchain

langfuse

langgraph

ChatGPT

Work experience

Technical Lead - Conversational Commerce Hospitality at Rezolve Ai, Jan 2026 - Present · 8 mos, India, • Leading delivery teams building production-grade, agentic and voice-enabled AI systems, with ownership of technical direction and delivery outcomes. • Driving architectural decisions for multi-agent LLM platforms, including orchestration, tool routing, and reliability considerations for real-world deployment. • Owning end-to-end delivery of AI features from design to production, while mentoring engineers through code and design reviews. Tech Stack: Python, LangGraph, LangChain, Pipecat, FastAPI, AI Agents, LLM APIs, Microservices, Docker, WebRTC

Software Engineer at Qtanea Solutions, Oct 2024 - Dec 2025 · 1 yr 3 mos, Pune District, Maharashtra, India, • Led the design and implementation of scalable backend systems and data pipelines using advanced NLP and machine learning techniques. • Integrated a robust notification system capable of handling 100,000+ real-time notifications monthly with a 99.9% delivery rate. • Developed a real-time attendance solution achieving 25+ FPS on 1080p video streams for consistent, reliable performance. • Tech Stack:Python, Django, Node.js, Docker, Git, Redis, PostgreSQL, OpenAI API, Microsoft Azure, Vector Embeddings.

AI Trainer at Outlier, Oct 2024 - Apr 2025 · 7 mos, San Francisco, California, United States, • Conducted detailed code reviews to ensure high-quality, efficient, and maintainable code. • Implemented Reinforcement Learning with Human Feedback (RLHF) to enhance model performance through human evaluation. • Engaged in prompt engineering and optimization, refining prompts to outperform state-of-the-art models.

Software Developer Intern at a21.ai, Jan 2024 - Jun 2024 · 6 mos, San Francisco, California, United States, During my six-month internship at a21.ai, I have honed my skills in AI engineering through the successful completion of several impactful projects. My day-to-day tasks involved end-to-end development, Research, deployment of advanced AI solutions, and collaborating closely with cross-functional teams to deliver high-quality results. Key Responsibilities and Achievements include: • Engineered a sophisticated chatbot capable of processing and understanding complex documents, allowing users to query and receive accurate responses, and generate analytics out of the given context to the chatbot using Python and LangChain. • Conducted extensive research on various approaches to virtual try-on technology. Implemented an image generation solution using a finetuned stable diffusion inpainting model using DreamBooth & LoRA, supported by a custom dataset created through web scraping using BeautifulSoup. • Designed and deployed a sophisticated agent-based chatbot interface with a React frontend and Flask backend on AWS EC2. • Implemented a high-performance proxy server using Gunicorn and NGINX, ensuring seamless interaction between custom AI Agents developed using LangChain. • Developed a CI/CD pipeline using GitHub Actions, facilitating smooth integration, testing, and deployment. Certifications: • AWS CLF-02 Cloud Practitioner

Education

Bachelor of Technology - BTech, Computer Science and Business Systems, Techno India University

12th, Science, Raiganj Coronation High School

Public links

github: https://github.com/Ripan-Roy

leetcode: https://leetcode.com/ripan_roy

codeforces: https://codeforces.com/profile/Ripan-Roy