Anshuman Nayak

ANSHUMAN NAYAK Software Engineer-| - | Hyderabad, IN Linkedin | GitHub | Portfolio | Blog Education IIT Kharagpur Kharagpur, India July 2020 - May 2022 Master of Technology Agricultural Systems and Management CGPA: 9.51 Orissa University of Agriculture and Technology Bhubaneswar, India July 2016 - July 2020 Bachelor of Technology Agricultural Engineering CGPA: 8.50 Experience Carelon Global Solutions LLP | Software Engineer ˆ ˆ ˆ ˆ ˆ ˆ Led low-code platform creation for Data API Gateway. Cut dev time from 14 days to 2 hours with templates. Engineered fault-tolerant core, enabling scalability. Supported 2000+ data scientists, 5+ apps. Managed diverse data model lifecycle. Implemented eective alerts and led model pipelines. NexVerse Pvt. Ltd. | Fullstack Developer ˆ ˆ ˆ ˆ ˆ ˆ Gurugram, India | Jul 2022 - Feb 2024 Bhubaneswar, India | Jan 2019 - Mar 2022 Developed Cordova-based hybrid social media app UI. Leveraged Node.js for server-side development and MongoDB as the primary data storage solution. Integrated Push Notications, InApp Messaging, A/B Testing, Analytics. Optimized video processing for superior user experience. Supported 8000+ users and 15+ businesses. Implemented AWS EC2 autoscaling. Zeno Health (Workcell Solutions) | Software Engineer II ˆ ˆ ˆ ˆ ˆ Remote | Feb 2024 - Present Engineered and managed high-performance payment gateway processing 15,000+ transactions daily. Designed and optimized ETL pipelines for monthly migration of 10+ billion records. Developed and integrated web scraping solutions to build extensive eCommerce database. Led and motivated 10-person development team to achieve critical business objectives. Implemented and scaled NLP and GPT-4 powered chatbots handling 1M+ customer inquiries. Skills Programming Languages: Libraries/Frameworks: Tools / Platforms: Databases: Python, JavaScript, C, Go Node JS, Express, React, Next Js, Typescript, Django, Flask, GraphQL, REST API, OpenCV, Tensorow, HTML5, CSS3 AWS, Docker, Git, Jira, NgInx, GPTs, GitHub-CoPilot, Cursor MySQL, MongoDB, Firebase, PostgreSQL, Snowake Projects / Open-Source Graph CMS Features: ˆ ˆ ˆ ˆ ˆ ˆ ˆ TypeScript, Jest, Next JS, GraphQL, REST, NoSQL, SQL Seamlessly integrates with SQL or NoSQL data sources without explicit coding. Drastically reduces backend development eorts, enabling a focus on strategic tasks. Generates high-quality, maintainable code for complex backends. Oers GraphQL and REST interfaces for versatile integration. Employs Next JS for a fast, scalable, and user-friendly frontend. Deployment Options: Deploys as a monolith or microservice based on project needs. Supports middleware-based implementations for customization. Benets: ˆ ˆ ˆ ˆ ˆ Developers deliver projects faster with minimal code. Reduces backend development time and associated costs. Easily scales to meet growing business demands. Ensures well-structured, easily extendable code. Flexible deployment options and middleware support. Mobile camera based plant diesease detector | Link ˆ ˆ ˆ ˆ ˆ ˆ JavaScript, Python, WebAssembly Produced an app for identifying plant diseases via photos. Designed for online/oine use, especially advantageous for Indian farmers. Employed TensorFlow.js and OpenCV.js for Deep Learning. Established Flask/Python ML pipeline for hosting and updates. Constructed UI with Ionic and React JS. Idea published in Elsevier's Smart Agricultural Technology Journal. Next Generation Sports Battle ˆ ˆ ˆ ˆ ˆ ˆ Cordova, NodeJS, MongoDB Created an app connecting sports enthusiasts for challenges. Cordova with WebRTC powers frontend; Node.js, Express, GraphQL backend. Real-time data via GraphQL subscriptions. Utilized RethinkDB and MongoDB for dynamic and static data. Successfully tested with 20,000 users in 2019. Hosted on AWS-OCP for seamless performance. SpectraML | Link Django, HTML, JavaScript Developed an open-source AutoML platform for spectroscopic data, automating preprocessing, model selection, and evaluation. Built interactive visualizations (PCA, t-SNE, spectral overlays) to support model interpretability and data exploration. Implemented domain-specic signal processing (e.g., smoothing, baseline correction) to improve model robustness. Designed a full-stack web app (Python backend, Plotly/D3.js frontend) for real-time experimentation and analysis. Enabled reproducible research via Jupyter notebooks, modular pipelines, and congurable workows. Open-sourced with documentation and community guidelines to support extensibility and academic collaboration. Certifications Data Analytics with Python - NPTEL Responsive Web Design - FreeCodeCamp ˆ GraphQL Developer - Associate - Apollo ˆ JavaScript Algorithms and Data Structures - FreeCodeCamp ˆ Programming in Python - Coursera ˆ SQL Databases - Coursera ˆ Django Web Framework - Coursera ˆ GIS and Its application with Python - NAHEP. ˆ Financial And Social Inclusion - University of waikato ˆ Meta Back-End Developer - META ˆ ˆ Honors & Awards Achieved Silver Elite Award in Data Analytics from IIT Roorkee. Recognized Scholar in Digital Agricultural Technology by GSA, Kyoto Japan. ˆ Attained All India Rank 67 in GATE 2020. ˆ ˆ Holds patent for smartphone tech detecting Nitrate and Phosphate in water and soil. ˆ Scientic Publication 1 - A Smartphone-Enabled Imaging Device for Chromotropic Acid-Based Measurement of Nitrate in Soil Samples ˆ Scientic Publication 2 - A smartphone-integrated imaging device for measuring nitrate and phosphate in soil and water samples ˆ Scientic Publication 3 - Application of smartphone-image processing and transfer learning for rice disease and nutrient deciency detection ˆ Scientic Publication 4 - Digital soil mapping of available phosphorus using a smartphone-integrated RGB imaging device and ascorbic acid extraction method ˆ