Jan 2024 – Jul 2024 · 6 mos · On-site

Jul 2022 – Dec 2023 · 1 yr 5 mos · On-site

• 𝐋𝐢𝐯𝐞𝐂𝐮𝐛𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐓𝐞𝐚𝐦 𝐌𝐞𝐦𝐛𝐞𝐫 🚀
• LiveCube is a no-code platform with an Excel-like User Interface connected to a cloud database capable of handling millions of records. LiveCube apps collate data from ERPs, CRMs, TPMs, and Data warehouses, among others, and automate data analysis across the HighRadius Autonomous Finance platform.
• 𝗠𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗟𝗶𝘃𝗲𝗖𝘂𝗯𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺: https://www.highradius.com/software/livecube/
• Engaged in the design and development of an Excel Translator library using ANTLR4 and Apache Calcite, utilized across internal products for converting Excel formulas into efficient SQL queries.
• Designed and developed 10+ key features for the LiveCube product, including Add/Update Formula, Group By, Append Table, Copy Workbook/Worksheet and other Excel-like functionalities.
• Engineered sophisticated data computation pipelines, utilizing graph data structures to manage dependencies among columns, cells, and worksheets.
• Engaged in the integration of a coordination service utilizing Apache Zookeeper, effectively managing concurrent resource access across multiple execution pipelines and resolving database locking issues.
• Led two major design migrations with zero downtime and 98% data retention, enhancing system performance by over 80% through data model normalization and code optimizations.
• Developed custom data sync pipelines for deductions and collections systems, addressing critical use-cases for two major clients and contributing to increased company revenue.
• Deployed a comprehensive Grafana monitoring solution that proactively identified feature issues, decreased client support tickets by 60% and enhanced system reliability and user experience.
• Engaged in codebase maintenance to ensure high-quality software, utilizing design patterns, performing thorough peer code reviews, and conducting comprehensive unit testing.

Aug 2021 – Jun 2022 · 10 mos · On-site

• Product - Order-to-Cash Analytics (https://www.highradius.com/software/order-to-cash/analytics/)
• Led an analytics team to deliver 10+ functional dashboards using an in-house analytics framework, successfully meeting diverse client needs by providing insightful data visualizations and enhancing decision-making processes.
• Crafted and optimized 50+ MySQL and Snowflake SQL queries to uncover and analyze trends in client data, enabling comprehensive and accurate dashboard visualizations that drove strategic business insights.

Jan 2021 – Mar 2021 · 2 mos · Bhubaneshwar, Odisha, India · On-site

• Conducted exploratory data analysis (EDA) and rigorous data cleansing on provided datasets, ensuring data quality and accuracy.
• Engineered a predictive machine learning model utilizing the Random Forest Algorithm to forecast payment timelines for invoices, employing strategic bucketization for enhanced interpretability.
• Implemented a robust backend infrastructure using Java Servlets to enable seamless CRUD operations, ensuring effective data manipulation and system functionality.
• Developed a dynamic UI using React JS and Redux. Achieved a lightweight and responsive user interface through meticulous state management and efficient component rendering, resulting in an elevated user experience.
• Developed a Flask-based API to seamlessly expose the ML model, facilitating effortless integration with the UI. This integration empowered users to access real-time forecasted values tailored to specific invoices.
• 𝙂𝙞𝙩𝙃𝙪𝙗 𝙇𝙞𝙣𝙠: https://github.com/manav2000/AI-Enabled-FinTech-B2B-Invoice-Management-Application

Feb 2021 – Mar 2021 · 1 mo · Bhubaneshwar, Odisha, India · On-site

• Actively contributed to multiple cloud projects in the IoT Lab at KIIT University.

Nov 2020 – Jan 2021 · 2 mos · Bhubaneshwar, Odisha, India · On-site

• In my cloud training, I built a serverless app using AWS Amplify for the frontend and AWS Lambda with DynamoDB for the backend. Integration with AWS Polly for text-to-speech was achieved. User authentication was handled by AWS Cognito.
• For streamlined development and deployment, I orchestrated a CI/CD pipeline using AWS Cloud Development Kit (CDK). AWS CodeCommit managed the code repository, AWS Cloud9 served as the cloud IDE, and AWS CodeBuild automated the build pipeline. This setup facilitated efficient development and deployment of the serverless app on AWS.
• 𝙂𝙞𝙩𝙃𝙪𝙗 𝙇𝙞𝙣𝙠: https://github.com/manav2000/aws-amplify-serverless

Jul 2020 – Dec 2020 · 5 mos · Bhubaneshwar, Odisha, India · Remote

• Led the development of APIs for machine learning models using Django Rest Framework, ensuring seamless implementation and deployment. Worked closely with the UI team to integrate these APIs with the frontend, significantly contributing to the creation of reusable and scalable UI components in React.js.