About
Aditya Upadhyay is a highly accomplished Computer Science and AI undergraduate at IIIT-Delhi (CGPA: 9.2), known for a strong foundation in algorithms, machine learning, and full-stack development. He brings extensive research experience, having developed real-world AI applications from CNN-based attention detection for 10K+ samples to an AI-powered neurology assistant planned for clinical rollout at AIIMS Delhi. A top-tier competitive programmer (Codeforces Specialist, Leetcode Knight with 1000+ problems solved) and proven leader, Aditya excels at the intersection of ML, systems, and impactful real-world problem-solving, seeking roles as an AI/ML Engineer or Research Engineer.
Work
Delhi, Delhi, India
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Summary
Led research on CNN-based attention detection models, optimizing data preprocessing and significantly enhancing lab efficiency.
Highlights
Trained CNN-based attention detection models, achieving 92% accuracy and streamlining preprocessing for 10K+ samples.
Reduced manual workload by 60% and enhanced lab engagement by 25% through optimized data pipelines.
Delhi, Delhi, India
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Summary
Facilitated coding labs and provided extensive student support for Algorithms and Data Structures, fostering a collaborative learning environment.
Highlights
Conducted 2 weekly office hours and addressed over 50 hours of student queries, fostering an active peer-support channel.
Crafted comprehensive assignments and facilitated coding labs, enhancing student understanding of complex algorithmic concepts.
Delhi, Delhi, India
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Summary
Developed and deployed an anomaly detection pipeline for the Indian Air Force, leveraging cloud-native solutions to process critical data.
Highlights
Implemented a runway anomaly detection pipeline, achieving 93% accuracy using Isolation Forest for critical applications.
Containerized microservices on AWS, processing over 300 daily inferences for the Indian Air Force.
Delhi, Delhi, India
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Summary
Developed a real-time WebSockets dashboard, significantly improving data analysis and debugging for ROS bag data.
Highlights
Constructed a real-time WebSockets dashboard, enabling 60 FPS ROS bag visualization and accelerating data parsing.
Reduced analysis overhead by 40% and debugging time by 50% through optimized data visualization.
Volunteer
IIIT-Delhi
|Placement Committee Coordinator
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Summary
Coordinated logistics and communications for placement drives, connecting students with industry opportunities.
Highlights
Managed key aspects of placement activities, facilitating connections between students and prospective employers.
IIIT-Delhi
|Mentor, Program for Interview Preparation (PIP)
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Summary
Mentored students for interview preparation, sharing insights on technical and behavioral aspects.
Highlights
Guided peers through comprehensive interview preparation, enhancing their technical and soft skills for career readiness.
Education
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B.Tech
Computer Science and Artificial Intelligence
Grade: CGPA: 9.2 (till 6th Semester)
Courses
Discrete Structures
Computer Organization
Operating Systems
Database Management Systems
Advanced Programming in Java
Convex Optimization
Data Science
Awards
Codeforces Specialist Rating (1544*)
Awarded By
Codeforces
Achieved a Specialist rating of 1544* on Codeforces, consistently ranking in the upper percentile across international programming contests by applying advanced algorithmic strategies and optimizing solutions for time-constrained performance.
Leetcode Knight Rating (1861)
Awarded By
Leetcode
Solved over 1000 problems on Leetcode and achieved a stunning rating of 1861 (Knight), demonstrating strong problem-solving and data structure skills.
Tech-for-Good Solution Award
Awarded By
Nationwide Competition
Selected among top 1% from nationwide applicants; built a tech-for-good solution under 24 hours focusing on real-time healthcare triage.
AI-based Career Path Recommender Prize
Awarded By
Inter-college Competition
Led a 4-person team to develop an AI-based career path recommender, outperforming 200+ teams across 20 colleges and winning the ₹15,000 prize for innovation and usability.
Dean's Award for Academic Excellence
Awarded By
IIIT Delhi
Recognized for outstanding academic performance with a CGPA above 9.0 (2023-2024).
Publications
Languages
English
Hindi
Skills
Programming Languages
Python, C++, Java, C, JavaScript.
AI/ML & Data Science
Machine Learning, Deep Learning, Statistical Machine Learning, Computer Vision, Model Evaluation & Tuning, Feature Engineering, Hyperparameter Optimization, Data Science, Convex Optimization.
Frameworks & Libraries
TensorFlow, Keras, PyTorch, Scikit-learn, OpenCV, FastAPI, Django, Flask, Streamlit, SymPy, Plotly, JavaFX.
Tools & Technologies
Git, GitHub, Docker, Wandb, VSCode, IntelliJ IDEA, Gradle, APIs, LaTeX, Canva, Figma, Elasticsearch, OpenAI CLIP, Google Gemini NLP, JWT, OAuth2, AWS, ROS, SUMO.
Core Computer Science
Data Structures, Algorithms, Object-Oriented Programming, Software Design, Competitive Programming, Analysis and Design of Algorithms, Discrete Structures, Computer Organization, Operating Systems, Database Management Systems, Advanced Programming in Java.
Interests
Hobbies
Cricket, Music, Travelling.