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@menithaathiyaman
Python backend developer focused on Django and AI engineering for NLP and computer vision.
I am a Python developer specializing in backend development with Django and AI engineering for NLP and computer vision. I build and deploy full-stack applications, design and implement REST APIs, and deploy services on cloud platforms such as AWS and Docker; my projects achieved results like 85% object recognition accuracy and a 40% productivity gain through automation.
My recent work includes architecting a secure Django backend integrated with Gmail and Google Calendar APIs handling 1,000+ daily requests with high reliability, shipping real-time YOLO-based object detection at 30 FPS, and delivering full-stack applications with strong mobile usability and low load times. I prioritize data-driven solutions, end-to-end project execution, and measurable user impact.
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Work history, roles, and key accomplishments
Independent Project
Jan 2025 - Present (10 months)
Architected a secure Django backend integrated with Gmail and Google Calendar APIs to handle 1,000+ daily API requests with 99.9% reliability; implemented NLP email categorization (85% accuracy) and an AI scheduler reducing meeting conflicts by 40%.
Independent Project
Jan 2024 - Present (1 year 10 months)
Developed a real-time object detection system using YOLO and OpenCV achieving 85% accuracy across 20+ categories at 30 FPS and integrated TTS feedback with <0.5s latency, improving navigation efficiency by 40% in trials.
MakeVision
Developed and deployed 3 automation scripts leveraging object detection and Python libraries, reducing manual processing time by 50% and improving team productivity.
AICTE Virtual Internship
Designed and implemented 15+ REST APIs in a Django backend, increasing system throughput by 25% and handling 1,000+ daily requests; built 5+ dynamic front-end modules that reduced user task completion time by 30%.
Degrees, certifications, and relevant coursework
Master of Computer Applications, Computer Applications
2024 -
Grade: 9.37/10 (up to 2nd semester)
Master of Computer Applications candidate with strong academic performance (CGPA 9.37/10 up to 2nd semester) focusing on backend development and AI engineering.
Bachelor of Computer Applications, Computer Applications
Grade: 8.67/10
Graduated with a Bachelor of Computer Applications, achieving a CGPA of 8.67/10 and coursework relevant to software development and AI.
You can contact menitha and 90k+ other talented remote workers on Himalayas.
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