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Afham Ahmad
Open to opportunitiesMachine Vision Intern
AI/ML engineer building agentic LLM systems, RAG pipelines, and real-time computer-vision inference for industrial and robotics teams.
IndiaMachine Vision Intern at KlarSYS Automations LLP
About
I build agentic AI systems with LangGraph, MCP, and ReAct—routing multi-agent LLM pipelines with RAG-based retrieval and tool execution tied to live GitHub REST APIs.
On the computer-vision side, I’ve shipped production OCR for industrial inspection, migrating a vision stack from Python to native C++ to cut latency and deliver real-time recognition on live line-scan camera feeds.
I also help lead robotics and perception efforts at Team Vyadh, working on low-latency video pipelines and a PyQt ground control station with ROS2 and MQTT control through multi-terrain field tests.
Experience
Machine Vision Intern
Built and evaluated a production CRAFT + PARSeq deep-learning OCR pipeline for industrial inspection, achieving 91% recognition accuracy on live line-scan camera feeds. Migrated the vision stack from Python to C++, reducing inspection latency 7x via cuDNN-accelerated fp16 inference.
Product CraftParseqOpenCVCUDNNC++PythonSocket Programming
Technical Projects Lead / Vice Captain
Coordinated execution across 2 competition teams (50+ members) spanning perception, autonomy, networking, and control, contributing to a 13th-place global finish at IRC 2025. Architected a GStreamer-based low-latency video pipeline, cutting camera feed latency from 5s to under 20ms.
GStreamerMQTTUDPTCPTeam Leadership
Education
Vellore Institute of Technology
Pursuing a B.Tech in Information Technology with a CGPA of 8.45/10.