Aug 2023 – Aug 2025 · 2 yrs · Bengaluru, Karnataka, India · Hybrid

• Developed and integrated Facebook & Instagram posting features with an automated scheduler, allowing dealers to publish vehicle listings with single/multiple images, links, descriptions and hashtags at their preferred time. This improved dealer marketing efficiency and increased social engagement with potential buyers.
• Integrated Codeweaver financial services into the dealer platform, automating finance workflows like loan applications, dealer forms and invoice PDF generation. Reduced manual processing by 40%, accelerating approvals and improving dealer satisfaction.
• Implemented image lazy loading and optimized rendering to reduce page load time by 30% with backward compatibility for older browsers. This upgrade increased Lighthouse performance scores to 90+ and directly improving Page speed.
• Built and enhanced image upload & editing workflows including dealer logo placement, cropping and watermarking. This empowered dealers to personalize vehicle listings, improving listing quality and boosting dealer engagement by ~25%.
• Automated dealer form handling and PDF invoice generation and Merged separate UI and frontend repositories into a unified monorepo, streamlining codebase management and onboarding. New developer setup time dropped from 2 days to less than 1 day and improving team productivity.
• Designed custom image editing tools (resize, crop, adjust quality, logo embedding) within the dealer dashboard, enabling personalized marketing materials and enhancing platform adoption among dealers.
• Delivered responsive and cross-browser UI components ensuring seamless experiences across desktop, mobile, and legacy browsers. This improved user satisfaction and lowered support tickets by 65%.
• Modernized frontend architecture with performance best practices (code splitting, caching, lazy loading, optimized bundles). This improved system maintainability, reduced technical debt and delivered a consistently faster experience to thousands of dealer users.

Aug 2022 – May 2023 · 9 mos · Navi Mumbai, Maharashtra, India · On-site

• Led the migration of Skill Academy products from AngularJS & PHP to Angular 16 which improved website performance, boosted page speed by 45% and significantly enhanced code maintainability and reusability of components. This migration reduced technical debt and provided a smoother, more scalable architecture for future product development.
• Developed and integrated PassPro subscription and coupon features across multiple products which contributed to a 30% increase in company revenue. Enhanced subscription management flows improved user engagement and retention while also opening up new monetization opportunities.
• Implemented SEO and Core Web Vitals optimizations including semantic HTML, WCAG accessibility standards and responsive design strategies. These changes reduced page load time by 60% (from 5s to 2s), increased mobile traffic by 33% and boosted organic traffic by 21%, directly improving search rankings and discoverability.
• Developed dynamic feedback forms which captured user insights with over 500+ daily interactions. This feature improved feedback collection efficiency, helping product teams understand user needs and iterate quickly.
• Built a User Interest Discovery feature that tracked clicks, session time and interactions to dynamically render personalized content. Integrated analytics events allowed deeper insights into user behavior, helping optimize engagement and retention strategies.
• Implemented lead ingestion and event flow strategies, improving lead capture efficiency and analytics. This led to a 40% improvement in data tracking accuracy and increased conversion rates by 18%, supporting better marketing and sales decisions.
• Built a dynamic timetable system that automatically adjusted schedules based on user preferences, Course Availability at Skill Academy and live data. This feature improved overall usability, reduced confusion around scheduling and enhanced student engagement with the platform.

May 2022 – Aug 2022 · 3 mos · Navi Mumbai, Maharashtra, India · On-site

• Developed an account-sharing block flow that detected and restricted unauthorized credential sharing. This feature not only protected platform security but also boosted user sign-ups, increased revenue and drove organic lead generation by ensuring fair usage.
• Developed various scalable, high-performance and feature-rich modules using Angular 9, TypeScript, HTML and CSS, leveraging NgRx state management for predictable and efficient data flow across multiple modules. implemented reusable route-level modules with browser history support, reducing navigation latency, improving performance and ensuring smooth user journeys. Collaborated closely with product and QA teams to deliver key features on time, which enhanced maintainability, accelerated feature rollout and contributed to increased customer engagement and retention.

Apr 2022 – Jul 2022 · 3 mos · Remote

• Successfully completed the Google Cloud Ready Facilitator Program, gaining hands-on exposure to Google Cloud Platform (GCP) services and tools.
• Designed and deployed scalable, resilient and cost-efficient cloud solutions, applying best practices in infrastructure management and performance optimization.
• Worked on real-world labs and projects involving compute, storage, networking, IAM (Identity & Access Management) and security enhancements.
• Learned to integrate cloud-native technologies and adopt industry-relevant approaches to ensure high availability, reliability and security of applications.
• Strengthened expertise in cloud resource provisioning, monitoring and optimization, preparing to build and manage cloud-first solutions at scale.

Feb 2022 – May 2022 · 3 mos · Noida, Uttar Pradesh, India · Remote

• Contributed to the development of an e-Banking platform, implementing key services such as phone banking and internet banking, enabling secure digital transactions and improving customer accessibility.
• Worked on a centralized database system using MongoDB, Java and Spring Boot ensuring data consistency, faster retrieval, and scalable architecture capable of handling high-volume financial transactions securely and efficiently.
• Implemented modular deployment strategies, making the application more maintainable and scalable while supporting future integration of new banking services.
• Worked on server-centric and thin client software deployment, optimizing system performance and enabling lightweight client interactions with the banking system.
• Built responsive user interfaces using HTML5, CSS3 and Angular 9 delivering an intuitive and user-friendly experience across devices.
• Collaborated with senior developers and mentors to understand best practices in secure financial application development, gaining practical knowledge of backend integration and full-stack workflows.

Jun 2019 – Jul 2019 · 1 mo · Noida, Uttar Pradesh, India · Remote

• Contributed to the development of an online examination platform using HTML5, CSS3, Angular 2, NgRx, RxJs, Node.js, MongoDB and REST APIs. Gained full-stack exposure while focusing on building scalable frontend components.
• Implemented examination participation flows where users could take part either individually or as a team, ensuring flexibility for different test formats and improving platform usability.
• Developed time-bound assessment features that allowed participants to complete tasks within a strict time limit with automated submission to ensure fairness and accuracy.
• Built team management capabilities including assigning a team leader to organize tasks, distribute responsibilities and monitor progress which enhanced collaboration and accountability in group assessments.
• Designed responsive and cross-browser compatible interfaces with HTML, SCSS and Angular 2 ensuring smooth access across devices and providing a consistent user experience.
• Collaborated with mentors and peers in an Agile environment, participating in daily standups, sprint reviews and code reviews which improved my teamwork, problem-solving and software development practices.

Apr 2019 – Jun 2019 · 2 mos · New Delhi, Delhi, India · On-site

• Developed an AI-powered application capable of predicting and solving handwritten mathematical equations from images, supporting arithmetic operations (addition, subtraction, multiplication, division) and higher-degree equations (linear, quadratic, cubic, etc.).
• Implemented OCR (Optical Character Recognition) for preprocessing and segmentation of handwritten input, enabling accurate extraction of digits and mathematical symbols from noisy or low-quality images.
• Designed and trained Convolutional Neural Networks (CNNs) to classify handwritten characters and operators with high accuracy, experimenting with architectures and hyperparameter tuning to optimize model performance.
• Integrated a mathematical solver engine that parses recognized symbols and dynamically solves expressions in real time, ensuring scalability across different equation complexities.
• Applied data preprocessing and augmentation techniques to enhance training datasets, improving model robustness, generalization and performance across varied handwriting styles.
• Evaluated system performance using accuracy and loss metrics, fine-tuned the CNN to achieve consistent improvements in recognition rates.
• Explored real-world applications of the project in education technology, automated exam evaluation and assistive tools for students and teachers.
• Gained hands-on experience in machine learning workflows, including dataset creation, model training, validation and integration into a practical end-to-end solution.