# Smit V > Full Stack Developer @WinWin Labs | Ex-SDE @ZsuiteTech | MSCS @Stevens | Ex-SDE-2 @Sapio Analytics | Ex-SDE @Lendenclub Techserve | Former Associate Tech Analyst @Colgate-Palmolive Pvt. Ltd. Location: United States, United States Profile: https://flows.cv/smit I am a results-driven Software Engineer with a Master’s in Computer Science from Stevens Institute of Technology with 3 years of professional hands-on experience in fintech, IT, and healthcare domains. My expertise lies in backend and full-stack development using Python , Django , AWS , React Js , Docker and PostgreSQL with automation, where I build scalable, high-performance solutions and enhance system reliability. 💼 Professional Experience 🔹 Software Engineering Intern @ ZSuite Technologies (Fintech, USA) Automated 1099 generation for 100+ beneficiaries with 200K+ account data, ensuring 100% accuracy using SQL. Optimized workflows with Python and Pandas, saving 60+ hours annually and reducing Excel dependency. Established GitHub workflows with pytest, improving code reliability and correctness. 🔹 Software Development Engineer @ Sapio Analytics (IT, India) Developed a job portal with 80+ APIs, serving 1M+ users. Automated amortization report generation, reducing processing time from 2 hours to 3 minutes. Built an applicant tracking tool leveraging AWS Lambda & OpenSearch, indexing 1M+ records with 90% accuracy. 🔹 Software Engineer @ LendenClub (Fintech, India) Engineered real-time repayment processing for 1M+ users, reducing execution time from 5 hours to 2 minutes. Migrated to a microservices architecture, cutting deployment time by 60% and increasing frequency by 40%. Developed 150+ RESTful APIs for seamless service communication. 📌 Technical Skills & Expertise ✔ Languages: Python, C++, JavaScript, TypeScript, Java ✔ Databases: PostgreSQL, MySQL, MongoDB, Firebase ✔ Frameworks & Tools: Django, Flask, ReactJS, AWS (EC2, Lambda, S3, RDS), Docker, Kubernetes, OpenSearch 🧠 Research & Projects 🔹 Published an IEEE research paper on diabetes prediction using ML, achieving 93% accuracy. 🔹 Built an income prediction model with 85% accuracy using Naïve Bayes & Decision Tree. I’m passionate about building scalable systems, leveraging AI for insights, and optimizing performance. Always open to new challenges, collaborations, and networking opportunities—let’s connect! 🚀 #SoftwareEngineering #MachineLearning #Fintech #AWS #Python #Django #Automation ## Work Experience ### Full-stack Developer @ WinWin Labs Jan 2025 – Present | United States ◦ Built full-stack inventory management system using Node.js, React, and PostgreSQL serving 100+ employees, processing 500+ monthly requests across 1000+ items with 3-tier role-based access and Monitored approval workflows. ◦ Architected CI/CD pipeline using Jenkins, Docker, Git, and Amazon ECS and EC2, automating 100% of deployment cycles, reducing deployment time by 60% eliminating 95% of manual errors, with 99.99% system uptime. ◦ Molded 8+ enterprise features including emailing system, activity logging capturing 3,000+ monthly events across 10+ event types, return workflows processing 200+ monthly requests, and user management controls for 100+ accounts. ### Software Engineer @ ZSuite Tech Jan 2024 – Jan 2025 | Massachusetts, United States ◦ Automated 1099 generation process using optimized SQL queries, performing joins on 5+ tables with aggregations, assuring 100% accuracy in clients’ financial data calculations including 100+ beneficiaries having 40k+ account records. ◦ Leveraged and restructured Python code, formulating dependency injection, thereby optimizing and reducing code complexity by 30% with custom resource management using Poetry for selective library installation. ◦ Instituted an efficient GitHub workflow to check and auto-install required python libraries, also utilizing Pytest for automated code monitoring and testing upon code push, leading to 0 critical bugs reported post-deployment. ### Software Developer 2 @ Sapio Analytics Jan 2022 – Jan 2023 | Mumbai, Maharashtra, India ◦ Constructed a scalable job portal with 50+ REST APIs using Django Rest Framework with CRM tool that tracked user-application journey via ORM queries, ensuring storage in PostgreSQL, serving 1M+ job providers and seekers. ◦ Optimized whole calculation logic for loan defaulter system with Flask Framework and MongoDB, automating user default-interest reports for over 3000 defaulters and reducing generation time from 2 minutes to 4 seconds per report. ◦ Spearheaded the development of an Applicant Tracking Tool using AWS Lambda to automate text extraction from ZIP files, storing contents in S3, and indexing 1M+ records in AWS OpenSearch with 95% accuracy on resume search. ### Software Developer @ LenDenClub Jan 2021 – Jan 2022 | Mumbai, Maharashtra, India ◦ Pivoted from scheduled cron-jobs to real-time repayment transactions in peer-to-peer lending platform with 500K+ users using batched sequential API calls, reducing repayment time from 5 hours to 2 minutes with 5k+ transactions. ◦ Converted existing monolithic architecture into microservices with Django REST and setup CI/CD pipelines using Docker, resulting in components having zero dependency, while reducing deployment issues by 40%. ◦ Developed 65+ REST APIs using DRY and PEP8 principles enabling seamless code management across microservices, while monitoring API requests using New Relic, optimizing system performance by 32%. ◦ Implemented 18+ critical periodic jobs providing error-free functionalities, including amortization calculations, auto-investment logic, and third-party integration, delivering great user experience and increasing engagement by 30% ### Associate Technical Analyst @ Colgate-Palmolive Jan 2021 – Jan 2021 | Mumbai, Maharashtra, India ◦ Designed an administrative portal using ReactJS and TypeScript enriched with features enabling seamless uploading, selection, and image editing having 6+ filters using React Hooks. ◦ Pioneered tool creation tailored for employee data management and monitoring active user devices. Formulated through Django integration, using Okta Authentication and Google Firebase Storage to manage data for 10K+ employees. ### Web Development Intern @ National Informatics Centre, Govt of India Jan 2020 – Jan 2020 | Mumbai, Maharashtra, India ◦ Created an smart inventory management system that can keep track of the company users and products that are issued to the users. ◦ It had multiple modules including User_Authentication , Product CRUD Operation , Messaging feature via Email and logs for every transaction. ## Education ### Master's degree in Computer Science Stevens Institute of Technology Jan 2023 – Jan 2025 ### Bachelor's degree in Computer Engineering KJ Somaiya College of Engineering, Vidyavihar Jan 2017 – Jan 2021 ## Contact & Social - LinkedIn: https://linkedin.com/in/smitvora99 --- Source: https://flows.cv/smit JSON Resume: https://flows.cv/smit/resume.json Last updated: 2026-03-20