Hasan Zaigam
@hasanzaigam
AI Engineer building low-latency, LLM-powered pipelines for scalable video and recommendations.
What I'm looking for
I’m an AI Engineer focused on deploying AI systems that perform in production—fast, scalable, and built for real user impact. I’ve worked across recommendation, video analytics, and LLM-powered automation to improve discovery, performance, and editorial workflows.
At Applore Technologies, I designed and deployed AI-driven recommendation and personalization pipelines for a full-scale OTT platform using user behavior data. I built inference-optimized backend services with FastAPI to support high-concurrency model serving with low-latency response and scalability.
I also engineered a scalable video analytics pipeline using Cloudflare for real-time content processing and seamless multi-device delivery. On top of that, I integrated LLM-powered workflows for content tagging, metadata enrichment, and platform intelligence to automate editorial processes.
Before that, as a Software Developer Intern at OperateCrypto, I built an internal AI chatbot using Gemini API and MERN, reducing support resolution time by 50%. I continue to value clean system design, measurable outcomes, and practical engineering—supported by my projects like a real-time AI Interviewer Platform with WebRTC and Gemini API.
Experience
Work history, roles, and key accomplishments
AI Engineer
Aplore Technologies
Jan 2026 - Present (6 months)
Designed and deployed AI-driven recommendation and personalization pipelines for an OTT platform, improving content discovery using user behavior signals. Built inference-optimized FastAPI services for high-concurrency model serving and integrated LLM workflows to automate content tagging and metadata enrichment.
Software Developer Intern
OperateCrypto
Jan 2025 - Jul 2025 (6 months)
Built an internal AI chatbot using Gemini API and MERN, reducing support resolution time by 50% and enabling a move toward AI engineering. Improved platform performance by reducing load time by 30% and increasing session duration by 20%.
Education
Degrees, certifications, and relevant coursework
Guru Gobind Singh Indraprastha University
Bachelor of Technology (B.Tech), Industrial IoT (Sensor Systems) and Edge Computing
2022 -
Grade: 8.52/10.0 GPA (till 7th semester)
Activities and societies: Coursework: DSA, OOP/Design, OS, System Design, DBMS, Digital Image Processing, Linear Algebra, Machine Learning Fundamentals, Deep Learning/Neural Networks, Sensor Systems & Real-time Data Pipelines.
Pursuing a B.Tech in Industrial IoT with a focus on sensor systems, edge computing, and AI-driven automation. Coursework includes data structures and algorithms, operating systems, system design, machine learning, deep learning, and sensor systems.
Availability
Location
Authorized to work in
Job categories
Skills
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