Akshay Dahiya

• Implemented the use of powerful relational databases for persistent data storage
• Acquired skills in securing and configuring Linux-based servers for hosting applications
• Explored the challenges of horizontally scaling applications to support thousands of users
• Gained hands-on experience with a cloud-based application hosting provider

• Completed the Computer Vision Nanodegree offered by NVIDIA Deep Learning group and Affectiva through Udacity
• Gained proficiency in both theoretical concepts and practical implementation of state-of-the-art Deep Learning models, including YOLO, RCNN, FAST/FASTER RCNN, SLAM, and other object detection models
• Successfully completed major projects during the Nanodegree, including Facial Key Point Detection, Automatic Image Captioning, and Simultaneous Localisation And Mapping (SLAM)
• Applied learned skills to real-world projects, demonstrating competence in computer vision and deep learning applications.

• Acquired skills in building and training neural networks through the Deep Learning Nanodegree
• Developed proficiency in Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Natural Language Processing (NLP), Generative Adversarial Networks (GAN), and model deployment and serving
• Gained practical insights into applying these skills to real-world scenarios
• Successfully completed the Nanodegree, demonstrating competence in various aspects of deep learning.

• Completed the React Nanodegree program, consisting of three comprehensive projects
• Successfully developed and implemented Project 1: My Reads, a book lending app utilizing an external Books API
• Demonstrated skills in Project 2: Would You Rather? where users can ask and answer questions, view voting outcomes, and engage with a leaderboard
• Completed Project 3: Mobile Flashcards, a mobile application designed for studying collections of flashcards
• Applied React concepts to create practical and interactive web and mobile applications.

• Successfully deployed 50+ smart contracts across various EVM-compatible chains, ensuring seamless integration and functionality.
• Expertly designed a wide range of ERC tokens (ERC20, ERC721, ERC721A, ERC1155), including hyper-deflationary and reward tokens, for multiple projects on Ethereum, Avalanche, Binance Smart Chain, and Polygon.
• Spearheaded the development of innovative Node projects, introducing dynamic reward rates, evolving NFTs, a referral system, and OpenSea-compatible NFT trading.
• Engineered advanced trading and sniper bots using Web3.py and Solidity, catering to NFT minting and token trading requirements.
• Pioneered the creation of engaging Play2Earn games using custom Chainlink Oracles, deployed on Binance Smart Chain and Polygon networks, complete with a functional cross-chain bridge.

• Architected a high-performance API Gateway and Management Platform from the ground up, significantly accelerating development and improving efficiency.
• Enhanced API performance by approximately 80% through codebase optimization and the implementation of advanced compression algorithms such as Brotli.
• Revamped the entire authentication infrastructure using Auth0, ensuring a more secure and robust system for users.
• Skillfully designed and implemented multiple critical components, including the ELK logging and performance monitoring system, and the Learning Center, contributing to the platform's overall success.

Proud member of the prestigious Jack Watson Research team, working under the guidance of Dr. Thad Starner.

• Developed Examinator, an innovative tool that compares pairs of take-home exams to identify potential plagiarism cases and generate evidence-based reports using metrics from the commercial grading tool Gradescope.
• Successfully contributed to two published papers at the ACM Learning at Scale conference:
• The first paper highlighted Examinator's effectiveness in identifying plagiarism cases within a top US computer science graduate program, leading to improved referral rates from 15% to 25%.
• The second paper introduced JackMarker and GitDown, cutting-edge solutions designed to tackle plagiarism by embedding traceable tokens within documents and locating/removing unauthorized online solutions.
• Our flagship research project, Jack Watson, garnered significant recognition and was featured in Forbes, Times Higher Education, and numerous other media outlets.

• Developed a cutting-edge real-time feedback application utilizing web sockets, Django, Redis, and D3.js, ensuring seamless communication and data visualization for users.
• Collaborated with the behavioral finance team in designing user-centric tools for portfolio managers, leveraging the power of React for a responsive and intuitive user experience.
• Demonstrated proficiency in full-stack development, working with both front-end and back-end technologies to deliver scalable and efficient solutions.

• Reviewed projects and provided guidance to students in Full Stack and Deep Learning Nanodegree programs
• Assisted students with specific questions or concerns related to project requirements
• Provided support in understanding and implementing content, code, and debugging techniques
• Played a pivotal role in ensuring the success and comprehension of enrolled students in the programs.

• Contributed to Hydra, a documentation framework utilizing established Linked Data tools for connected Web APIs
• Worked within the Hydra Ecosystem community to establish operational tools using Python
• Participated in Google Summer of Code in 2018, 2019, 2020, and 2021
• Played an active role in the development and evolution of Hydra, contributing to its growth and functionality.