Abhirup Guha Roy
@abhirupguharoy
I build low-latency AI systems, RAG platforms, and robotics software for real-world operations.
What I'm looking for
I've built low-latency AI and automation systems at AR Village Technologies, including an end-to-end speech-to-speech streaming architecture with response benchmarks below 0.5 seconds. I also developed and trained 200M+ parameter text-to-speech language models and deployed an enterprise RAG platform integrated with Model Context Protocol servers.
At Bhabha Atomic Research Center, I analyzed spatial datasets to evaluate learning-based and classical SLAM algorithms in feature-deficient environments, translating algorithmic outputs into findings on loop closure and navigation accuracy. At Automax Robotics, I developed simulation models and offline programs for an 11-DOF production arm and built a full-stack web interface for operational visualization.
I'm a Mechanical Engineering student at Jadavpur University and Technical Coordinator for its Mechatronics Club, where I've led multidisciplinary robotics teams and managed Rover N.A.N.D.I. through technical milestones. My work spans Python, PostgreSQL, FastAPI, computer vision, voice agents, and production-focused AI systems.
Experience
Work history, roles, and key accomplishments
Software Development Intern
AR Village Technologies Pvt. Ltd.
Jan 2026 - Aug 2026 (7 months)
Developed an end-to-end s2s architecture with a low-latency streaming pipeline, reducing response benchmark to less than 0.5s. Trained language models for TTS over 200M+ parameters using codec architecture, and deployed an enterprise-grade RAG platform with MCP servers for automated knowledge retrieval.
Education
Degrees, certifications, and relevant coursework
Jadavpur University
Bachelor of Engineering, Mechanical Engineering
2023 -
Grade: 7.57 SGPA
Pursuing a Bachelor of Engineering in Mechanical Engineering with a current SGPA of 7.57.
St. Stephen's School, Dumdum
High School Diploma, General Studies
2015 - 2023
Grade: Class X: 91.67%, Class XII: 93.35%
Completed secondary and higher secondary education, achieving 91.67% in Class X and 93.35% in Class XII.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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