Jun 2025 – Aug 2025 · 2 mos · New Jersey, United States · On-site

• Designed efficient backend with Java and Spring Batch, cutting retrieval time from 12s to 1s using advanced pagination techniques.
• Built a Trade Reconciliation Tool from scratch for U.S. equities and derivatives, automating exception handling and improving data accuracy across multiple clearing systems.
• Enhanced enterprise dashboards using Angular and AG Grid, collaborating with frontend and QA teams to implement seamless dataset navigation, filtering, and sorting for large-scale data interaction.
• Integrated backend with SQL engines and cloud storage; orchestrated deployment with 300+ automated tests via CI/CD workflows.

Aug 2024 – May 2025 · 9 mos · College Station, Texas, United States · On-site

• Grader for CSCE 313 Introduction to Computer Systems
• Under the guidance of Department of Computer Science at Texas A&M University, my research focuses on utilizing advanced machine learning (ML) and artificial intelligence (AI) techniques, particularly large language models (LLMs), for protein sequence and structure generation with functional specificity. By combining cutting-edge generative models like ProtT5 and ESM3 with functional embeddings derived from natural language descriptions, I aim to create proteins tailored to desired biological functions, such as enzymatic activity or ligand binding.

Jul 2024 – May 2025 · 10 mos · Pittsburgh, PA · Remote

• Conducted advanced experimental ML research, enhancing functionalities in robotics and communications for three major projects.
• Optimized Python-based ML models for a Learning Management System, improving content relevancy and user engagement.
• Customized srsRAN and OpenFlow in SDN solutions, benefiting over 500 end-users through enhanced network management.

Jul 2023 – Jun 2024 · 11 mos

• Scrapped and annotated peer reviews from electric venues such as ICLR, Open Review , and NIPS, curating our dataset of 20000+ reviews for the research purpose. Performed citations in papers and got trained by an NLP expert.
• Developed multi-task models with 6 ablation variants, comprising SciBERT, BERT-Base, and Bi-LSTM, connected to multiple attention blocks to determine aspect categories and their sentiments for any given review.
• Pioneered RPoliteness library for feature extraction and politeness score predictor that helped in assessing crucial insights.
• Created POS, Scibert Embeds, BiLSTM, and FFNN (Multi Task Model) to predict levels of annotations.

Jan 2023 – Jun 2023 · 5 mos · Remote

• Devised machine learning algorithms for optimization, segmentation and personalization for Customer Analysis.
• Implemented RFM, Churn, Cohort analysis, CLV, CLTV, RFM-D Models and clustering for Customer Segmentation.
• Deployed the UI and logical changes of existing India’s No. 1 Savings Card on play store named Bachat Cards.
• Trained and optimize ML models deployed on Amazon Sagemaker and select the best suited model as per the use case.

Jul 2022 – Dec 2022 · 5 mos · Bengaluru, Karnataka, India

• Crafted a Jobs Marketing App using React Native. Implemented many tests for debugging using Jenkins.
• Designed and constructed a responsive website, using Javascript and TypeScript for front-end and Django for back-end, for job opportunities and easy recruitment for women in tech in order to promote women empowerment.
• Use additional JavaScript libraries, such as Redux, to make asynchronous API calls and enhance website loading speed. Implement pixel-perfect user interfaces that match designs and subsequently deployed the app on playstore.

Apr 2022 – Jun 2022 · 2 mos · Mumbai, Maharashtra, India

Oct 2021 – Jun 2022 · 8 mos · Mumbai, Maharashtra, India

• Published a Research paper and fostered a Python model as an end product to hand it over to the industry.
• Enhanced Census Credibility through the Utilization of Image Processing to Estimate GeoJSON Coordinates.
• Lead a team of developers and wrote the entire code of the model in python. Hosted the model on Flask.

Apr 2022 – Jun 2022 · 2 mos · Mumbai · Hybrid

• Collaborated with the core App Development team to design user-centric applications, enhancing overall user experience.
• Designed and implemented the complete UI for the Mechanics Application, ensuring seamless integration with backend systems.
• Contributed to product development strategies, leading to improved functionality and user engagement.

Feb 2022 – Jan 2023 · 11 mos

• Gained hands-on experience in Python, Django, and Linux through expert-led industrial training sessions.
• Employed a live backend project to JP Morgan experts, marking the successful completion of project phase.
• Recognized by JP Morgan for project excellence and received valuable feedback from industry experts.

Jan 2022 – Mar 2022 · 2 mos · Mumbai · Remote

• Designed and implemented comprehensive UI/UX for a mobile app and website using Figma, enhancing user engagement.
• Developed a blockchain-based marketplace platform, empowering over 500 local artisans and boosting their sales by 40%.
• Successfully launched a React Native app on the Play Store, achieving over 10,000 downloads and a 4.5-star rating in three months.

May 2021 – Oct 2021 · 5 mos · Mumbai, Maharashtra, India · On-site

• Developed full-stack web applications using JavaScript, C#, React, Node.js, and SQL, applying industry-standard best practices in scalable design and deployment.
• Gained hands-on experience with Microsoft Azure and GitHub for cloud integration, version control, and collaborative development workflows.
• Designed and optimized responsive websites by applying core principles of HTML, CSS, and UI/UX fundamentals.
• Collaborated directly under the CEO, showcasing problem-solving, creativity, and technical innovation, which led to exemplary feedback on professional performance.