Jan 2024 – Aug 2024 · 7 mos · Remote

• 1) Actively contributed to the enhancement of cutting-edge decentralized technologies, including IPFS, Akave, py-Libp2p, and Checkernetwork.
• 2)Designed, developed, and deployed robust middleware solutions in Akave; engineered and integrated a performant Peer Store, AutoNAT, Circuit-Relay and Hole-Punching (Direct Connection Upgrade through Relay) protocol to optimize peer-to-peer network connectivity and reliability in Libp2p Project.

Jun 2023 – Sep 2023 · 3 mos · Mumbai, Maharashtra, India · Hybrid

• 1) Conducted user interviews and utilized Figma to design an innovative and user-friendly interface, resulting in a 30% increase in user satisfaction and engagement.
• 2) Led a team of developers and provided technical guidance, fostering collaboration and achieving successful project completion within deadlines.
• 3) Implemented NextJS framework for front-end development, resulting in a 40% improvement in performance and page load speed.
• 4) Remodeled the database architecture using MySQL, optimizing data storage and retrieval processes, leading to a 25% reduction in query response time.
• 5) Proactively stayed updated with emerging technologies and industry trends, exploring and implementing innovative solutions to drive continuous improvement.

Dec 2021 – Jun 2023 · 1 yr 6 mos · Mumbai, Maharashtra, India · Hybrid

• 1) Illustrated User Interface and User Experience
• 2) Optimised & Maintained Frontend (Vue.JS, HTML, CSS, JS) & Backend (Django)
• 3) Remodeled the Database using MySQL
• 4) Accelerated the Traffic & User Experience by 70%

May 2023 – Aug 2023 · 3 mos · Coimbatore, Tamil Nadu, India · Hybrid

• Led the development of an advanced Quantum Transfer Learning approach, integrating a custom vision transformer, and utilized Intel’s oneAPI to optimize the training process. Engineered a specialized quantum circuit that facilitated the creation of an optimized neural network. This approach yielded a predictive model for the potential presence of autism in young children, outperforming classical models by an 33%.

Jun 2022 – Sep 2022 · 3 mos · Mumbai, Maharashtra, India · On-site

• 1) Conducted an extensive literature review on state-of-the-art quantum-enhanced transfer learning and quantum-neural networks, exploring the potential of leveraging quantum computing for optimizing classical and quantum-quantum CNNs.
• 2) Developed a bespoke quantum text classifier, leveraging transfer learning techniques to transfer knowledge from pre-trained classical models to quantum architectures, resulting in a 35% improvement in classification accuracy compared to traditional classical models.
• 3) Implemented a novel quantum transfer learning approach to optimize classical quantum-quantum CNN architectures, utilizing advanced quantum algorithms and techniques to enhance feature extraction and classification capabilities, resulting in a 50% improvement in classification performance.
• 4) Achieved an outstanding accuracy rate of 94.7% in the quantum model using the quantum variational circuit.

Apr 2022 – Apr 2022 · 0 mo

• 1) Engineered a dynamic Weather Web App utilizing React.js and Firebase Authentication, providing users with real-time weather information and an intuitive user interface.
• 2) Developed a professional portfolio website using Jekyll, showcasing projects, skills, and achievements to create a compelling online presence.
• 3) Integrated Geo-location API and Open Weather API into the Weather Web App, enabling users to retrieve location-based weather data and enhancing the app's functionality and accuracy.
• 4) Conducted thorough code reviews, ensuring adherence to coding best practices, and maintaining high code quality and maintainability standards.

Sep 2021 – Mar 2022 · 6 mos · Mumbai, Maharashtra, India

• 1) Engineered user-friendly, reusable React components, enhancing the overall functionality and user experience of the company's web applications by 20%.
• 2) Developed a robust CI/CD pipeline for automating environment setup, streamlining Docker image generation, and facilitating efficient Kubernetes deployment, resulting in a 30% reduction in deployment time.
• 3) Collaborated closely with cross-functional teams to align development efforts and deliver high-quality solutions.
• 4) Actively participated in code reviews, providing constructive feedback for code quality and adherence to standards, leading to a 15% increase in code quality and maintainability.

Jul 2021 – Nov 2021 · 4 mos · Mumbai, Maharashtra, India

• 1) Designed and implemented a machine learning algorithm to scrape relevant data from input text data and URLs, utilizing natural language processing techniques and web scraping methodologies.
• 2) Engineered the backend infrastructure using Django, ensuring seamless data retrieval, processing, and storage for efficient machine learning operations.
• 3) Modeled a user-friendly frontend interface using Bootstrap CSS and JavaScript, enhancing the accessibility and usability of the application for users.