Jul 2021 – Jun 2023 · 1 yr 11 mos

• Worked across both frontend and backend development, building scalable, high-performance, and user-centric web applications. This involved designing intuitive user interfaces using modern JavaScript frameworks, crafting robust RESTful APIs, integrating third-party services, and optimising database queries.
• Throughout the process, I deepened my understanding of clean code practices, state management, API design, database schema optimisation, and end-to-end testing, enabling me to deliver solutions that are not only efficient but also maintainable and extensible over time.
• 🔹 What I’ve Built & Delivered:
• 🚀 Delivered scalable, high-impact features for Jio platforms (Tira, JioMart) — enhancing performance, uptime, and user satisfaction.
• 🌐 Built and extended the Fynd Platform & Partner ecosystem, enabling smooth third-party integrations and modular APIs.
• 📊 Designed real-time dashboards to monitor key metrics like engagement, retention, and system health, fueling smarter decisions.
• 🧪 Increased test coverage with robust unit tests, improving code reliability and streamlining CI/CD pipelines for faster releases.
• 🤝 Worked cross-functionally with product, design, and engineering to ensure seamless delivery of user-focused, business-aligned solutions.

Apr 2021 – Jun 2021 · 2 mos

• 🛠️ Engineered and optimized modern, high-performance frontends for the Fynd Platform and Partner Dashboard with seamless API integrations to deliver smooth user experiences.
• 📅 Developed a full-featured meeting calendar application enabling users to efficiently schedule, manage, and track meetings, improving collaboration and productivity.
• 🩸 Created a web platform to connect blood donors with recipients, simplifying the donation process and improving access through a streamlined, user-centric interface.

Mar 2021 – Apr 2021 · 1 mo

• 📈 Bitcoin Price Forecasting via Twitter Sentiment Analysis: Built a web app that predicts Bitcoin trends by analysing real-time Twitter sentiment. Combined NLP and machine learning to extract insights from tweets and forecast market movements—excitingly bridging social media and finance.
• 🩸 Blood Donation Predictor: Built and deployed a machine learning model to predict the likelihood of future blood donations from past donors. Carried out feature engineering, model selection, and hyperparameter tuning to improve predictive accuracy. The project demonstrates my ability to take an idea from data analysis to full deployment, emphasising end-to-end ownership and impact-driven design.

Jul 2020 – Jul 2020 · 0 mo

• Day-to-day responsibilities include creating marketing and social media campaigns and strategies, including budget planning, content ideation, and implementation schedules, and promote products across social media platforms.

Jul 2020 – Jul 2020 · 0 mo

Dec 2019 – Dec 2019 · 0 mo · Neemrana, Rajasthan, India

• Gained hands-on industrial exposure during a one-month training program, where I explored various heat treatment processes, including Mesh Belt Furnace and Batch Furnace operations. Contributed to enhancing the efficiency of existing furnace models through process observation and model improvement initiatives.