Jan 2024 – Apr 2024 · 3 mos · Boston, Massachusetts, United States · On-site

• Guiding students through Foundations of AI with interactive tutorials, clarifying concepts, and supporting their learning journey.
• Assisting professors in course development, grading, and fostering a collaborative environment for students to excel in AI fundamentals.
• Dedicated to creating an inclusive atmosphere, encouraging peer interaction, and promoting teamwork to enhance the overall educational experience.

Apr 2022 – Aug 2023 · 1 yr 4 mos

• Spearheaded Golang development within the Optimizer - Payments Team at Razorpay, focusing on customer-facing projects that seamlessly addressed fundamental requirements of payment operations.
• Collaborated with cross-functional teams, including product managers, to enhance the Optimizer product. Facilitated merchants in creating and defining diverse payment gateways, enabling them to prioritize and strategically balance payment loads through rule-based configurations.
• Orchestrated the containerization of microservices using Docker and executed deployment on Kubernetes clusters through meticulously crafted helm charts.
• Pioneered the design and implementation of robust integration tests for multiple microservices, in addition to creating unit tests for innovative product features, ensuring a reliable and scalable platform.
• Notably, engineered a groundbreaking feature allowing customers to link their Paytm wallets on Razorpay’s checkout, streamlining subsequent payments through a single click. This significantly enhanced user experience and engagement.
• Demonstrated leadership by mentoring an intern for a two-month duration, guiding them in developing a charge-back prediction model. The model utilized a simple Artificial Neural Network (ANN), achieving noteworthy success in predicting the probability of transactions resulting in charge-backs.

Jul 2021 – Apr 2022 · 9 mos

• Led back-end application development in Rebel Foods' In-order team, overseeing critical microservices for kitchen staff, food orders, and inventory management.
• Designed and normalized a schema for efficient storage of food order, store, and kitchen staff details, fostering scalability.
• Achieved a significant milestone by implementing a feature that allowed kitchen staff to cancel orders with validated reasons, preventing revenue loss due to false cancellations and showcasing a commitment to system integrity.

Jan 2021 – Jul 2021 · 6 mos

• Contributed as a full-stack developer in Deloitte's Customers and Marketing team, focusing on projects for the Adobe client.
• Designed and developed interactive web pages using Adobe Experience Manager, showcasing a proficiency in creating engaging user interfaces.
• Demonstrated expertise in backend development by creating multiple REST APIs using Java, enhancing the functionality and connectivity of web applications for an optimal user experience.

May 2020 – Jul 2020 · 2 mos · Prayagraj, Uttar Pradesh, India · Remote

• Conducted a comprehensive comparative study focused on General Adversarial Networks (GANs) utilized in the transformation of text captions into images, leveraging the Caltech bird dataset.
• Innovatively devised a novel performance evaluation method for these GANs, employing t-Distributed Stochastic Neighbor Embedding (t-SNE), a feature dimensionality reduction algorithm. This method involved plotting both the original images and images generated by GANs and analyzing the overlapping areas to provide a nuanced assessment of performance.
• Demonstrated a keen analytical approach in evaluating the efficacy of various GANs for text-to-image generation, contributing to the advancement of research methodologies in the field of artificial intelligence and image synthesis.

Apr 2020 – May 2020 · 1 mo · Taloje Panchnad, Navi Mumbai · Remote

• Developed a project focused on the detection of traffic rule violations through video inputs, emphasizing the development of a robust system.
• Engineered a sophisticated system capable of identifying vehicles violating traffic signals, capturing their number plates, and subsequently converting the extracted license plate image data into text.
• Implemented a seamless integration with a database, ensuring the organized storage of pertinent information, thereby contributing to the enhancement of traffic monitoring and enforcement systems.

Dec 2019 – Aug 2020 · 8 mos · Bangalore

• Engaged in a project within the 'Device Intelligence' domain, titled "Design and Implement Manual Partitioning in ARMNN Converter," as part of a collaborative team of three under the guidance of Professor Delhibabu R. at VIT University.
• Specialized in the ML/AI worklet area, where the primary focus was enhancing the ARMNN converter by introducing manual partitioning techniques.
• Successfully contributed to the team's efforts in exploring and implementing advanced techniques within the ML/AI field, showcasing a commitment to research and innovation under the guidance of Professor Delhibabu R. at VIT University.

May 2019 – Jun 2019 · 1 mo · Jhansi, Uttar Pradesh, India

• Functioned as a full-stack developer at Binplus Technologies, actively contributing to the development of user-friendly websites with a focus on both frontend interfaces and backend APIs.
• Built a significant project by designing and implementing a dynamic dashboard featuring multiple statistical charts generated from real-time data. Notably, integrated an advanced search bar with autofill functionality, providing users with seamless and efficient data exploration.
• Awarded for exceptional hard work and dedication with a Certificate of Excellence at Binplus Technologies, for the valuable contributions made to projects and overall team success.