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Mohammed SufiyanMS
Open to opportunities

Mohammed Sufiyan

@mohammedsufiyan7

AI-focused software developer building LLM and computer-vision systems that cut resolution time and improve accuracy.

India
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What I'm looking for

I’m looking to build production AI products—LLM chatbots, RAG systems, and real-time vision pipelines—where I can own model-to-API deployments, optimize latency, and collaborate with engineers to ship measurable improvements.

I’m a software developer building production AI systems across LLM chatbots, RAG pipelines, and real-time computer vision. At Alphabit Technologies, I designed and deployed a transformer-based LLM chatbot via FastAPI and structured prompt workflows, reducing average customer query resolution time by 45%. I also built a real-time CCTV inference pipeline using OpenCV, DeepFace, and YOLO, optimizing inference latency to under 120ms per frame and automating daily reporting for 500+ streams.

I’ve contributed end-to-end to both backend and user-facing experiences, including a FastAPI + React.js ISBN scanning tool integrated with the Google Sheets API, cutting inventory entry time by 80% and reaching 97% accuracy. From fine-tuning YOLOv8 models with PyTorch to exporting for edge inference on Raspberry Pi with sub-200ms response time, I focus on measurable performance, reliable deployments, and practical engineering.

Experience

Work history, roles, and key accomplishments

AT

Software Developer

Alphabit Technologies

Jun 2025 - Apr 2026 (10 months)

Designed and deployed a production LLM chatbot for product discovery and recommendations, reducing average customer query resolution time by 45%. Built an end-to-end retail analytics system with real-time CCTV inference and automated reporting, and developed hybrid ISBN scanning that reduced inventory entry time by 80% while improving accuracy to 97%.

AT

Summer Intern

Alphabit Technologies

Jul 2024 - Aug 2024 (1 month)

Built and deployed an LLM-powered chatbot interface using Hugging Face Transformers and prompt engineering, automating 60% of customer support responses and cutting average resolution time by 35%. Integrated OpenAI and Anthropic APIs with structured prompt workflows and optimized error-handling to reduce end-to-end API latency by 40%.

Education

Degrees, certifications, and relevant coursework

CT

C. Abdul Hakeem College of Engineering and Technology

Bachelor of Technology, Information Technology

2021 - 2025

Grade: CGPA: 8.1 / 10

Earned a B.Tech in Information Technology from C. Abdul Hakeem College of Engineering and Technology from 2021 to 2025.

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