Face Recognition Attendance System (Minor Project)
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Summary
Developed an end-to-end attendance system with face recognition and liveness detection to prevent proxy attendance.
About
Highly skilled Data Scientist and AI/ML Engineer with a robust background in computer vision and deep learning, adept at developing and deploying scalable, real-time analytics systems. Proven expertise in creating YOLO-based detection systems, optimizing inventory management, and building robust ML pipelines with FastAPI and cloud infrastructure. Eager to apply advanced data-driven solutions to drive significant business outcomes and innovation in dynamic environments.
Work
Sarthi - Human-First Emotional AI
|Co-Founder & AI Engineer
Greater Noida, Uttar Pradesh, India
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Summary
As Co-Founder & AI Engineer, Aditya led the development of an emotional AI platform, enhancing user interaction and data management efficiency through advanced LLM orchestration and secure backend systems.
Highlights
Engineered an advanced orchestration layer atop OpenAI, dynamically guiding LLM prompts based on user behavioral patterns to significantly enhance user interaction and personalization.
Architected and implemented a high-performance FastAPI backend, integrating PostgreSQL and Pinecone vector DBs to ensure secure, fast data storage and retrieval, boosting data management efficiency.
Established robust JWT authentication and controlled message delivery mechanisms, fortifying data privacy and significantly enhancing security protocols across the platform.
AgroFarm Ventures Pvt Ltd
|Data Science Intern
Greater Noida, Uttar Pradesh, India
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Summary
As a Data Science Intern, Aditya developed an end-to-end YOLO system for real-time apple box detection, significantly saving manual counting time and boosting operational productivity.
Highlights
Developed an end-to-end YOLO-based system for real-time apple box detection via CCTV feeds, reducing manual counting time by 80%.
Automated critical inventory calculation processes, which significantly boosted operational productivity and eliminated human counting errors.
UptoSkills
|Data Science Intern
Greater Noida, Uttar Pradesh, India
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Summary
As a Data Science Intern and later Team Lead, Aditya engineered a high-accuracy crowd surveillance system, delivering real-time insights and leading a cross-functional team to successful project delivery.
Highlights
Engineered a crowd surveillance system that achieved 95% anomaly detection accuracy in high-density environments.
Implemented modular APIs to deliver real-time alerts, critical traffic insights, and precise unattended object detection.
Promoted to Team Lead, successfully managing a cross-functional intern team to ensure project delivery and foster enhanced team collaboration.
Samsung Innovation Campus
|Trainee
Greater Noida, Uttar Pradesh, India
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Summary
As a Trainee, Aditya completed intensive ML/DL, Computer Vision, and NLP training, building and deploying multiple production-ready models to demonstrate end-to-end ML proficiency.
Highlights
Successfully completed intensive ML/DL, Computer Vision, and NLP training, applying learned skills to hands-on industry projects and strengthening expertise in Generative AI and Python.
Developed and deployed over 3 production-ready ML models, showcasing end-to-end proficiency across the ML lifecycle.
Bharat Electronics Limited (BEL)
|Intern - Identity Manager
Greater Noida, Uttar Pradesh, India
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Summary
As an Intern - Identity Manager, Aditya conducted VAPT on hardware devices to identify and fix security vulnerabilities, and configured Linux systems to streamline identity management.
Highlights
Performed Vulnerability Assessment and Penetration Testing (VAPT) on hardware devices using Python, successfully identifying and remediating critical security vulnerabilities.
Configured Linux systems, including disk partitioning and RHEL 8.4 Identity Management (IDM) installation, to streamline identity management processes.
Education
Gautam Buddha University
Greater Noida, Uttar Pradesh, India
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B.Tech
Computer Science Engineering
Grade: 8.67 GPA
Guru Nanak Dev Institute of Technology
Rohini, Delhi, India
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Diploma
Computer Science Engineering
Grade: 85%
Awards
Microsoft Azure AgriTech Hackathon Winner
Awarded By
Microsoft Azure
Awarded for building a stubble burning detection system leveraging multi-satellite data fusion with an advanced ML prediction model.
Skills
Machine Learning & AI
Deep Learning, Computer Vision, Machine Learning, Generative AI, YOLO, Statistics, PyTorch, deepsort.
Programming & Tools
Python, FastAPI, MySQL, PostgreSQL, Vector Databases, JWT Authentication, cloud deployment.