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Where I’ve worked
A timeline of the teams and problems I’ve worked on, most recent first.
Wells Fargo
Software Engineer
August 2025 — Present·Bangalore, India
- Led the design and development of new Salesforce CRM features for Wealth and Investment Management (WIM), including prospect and household management capabilities, enabling Financial Advisors to manage clients, prospects, households, and related parties seamlessly.
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- Part of the WIMT Generative AI team, developing innovative GenAI applications while also governing safe and effective usage of Generative AI across Wealth and Investment Management. Additionally, I hosted a WIMT GenAI Hackathon to encourage innovation and collaboration within the line of business.
- Designed, architected, and delivered multiple Generative AI applications, including:
- AI Agent platform integrating with Salesforce, Splunk, OracleDB, Confluence, and other systems via Model Context Protocol (MCP), enabling faster triaging and resolution of production issues.
- AI-driven financial advisory assistant combining client data, real-time market feeds, and internal research to provide personalized investment insights.
- Recipient of Team Spotlight Award for delivering a major Salesforce CRM feature as part of a high-performing team.
- Winner of the WIMT 2025 GenAI Hackathon for building a multi-agent chatbot with micro-frontends for Financial Advisors to interact with all our wealth management systems through one chat interface.
Program Associate
August 2024 — August 2025·Bangalore, India
- Led the design and development of Salesforce CRM features for WIM, including new prospect and household management capabilities, driving the decommissioning of legacy CRM by porting critical functionality into Salesforce.
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- Delivered multiple Salesforce utilities, including:
- A highly customizable schedulable batch data purging tool.
- A custom Activity Timeline component supporting any object type beyond default Salesforce limitations.
- A high-volume batch migration application migrating thousands of files from legacy servers.
- Designed, architected, and implemented Generative AI solutions, including:
- GenAI-powered fee remediation system, reducing manual effort by over 60%.
- Intelligent auto-tagging and task creation on Salesforce advisor notes to drive Next Best Actions.
- Winner of Wells Fargo Technology Hackathon 2025 for a GenAI-powered orchestrator enabling intelligent email and document triage/routing.
- Recognized with the Manager Spotlight Award for hard work, dedication, and commitment to leveraging cutting-edge technologies, particularly Generative AI, to deliver impactful solutions.
Technology Intern Analyst
February 2024 — June 2024·Hyderabad, India
- Contributed to the modernization of Wealth and Investment Management by designing and developing an application using Spring Boot, MongoDB and Kafka, facilitating the migration of legacy applications to cloud-based solutions.
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- Finalist in the Wells Fargo Global Technology Hackathon 2024, competing among 20,000+ participants. Developed a Retrieval-Augmented Generation application using Azure AI Studio, LangChain, and Python to enhance the resume matching process.
- Designed and developed Salesforce components, enhancing system capabilities and improving operational efficiency.
Facctum
Machine Learning Intern
January 2024 — February 2024·Bangalore, India
- Engineered a cutting-edge solution for multi-class Merchant Category Code classification of product webpages by developing a Retrieval Augmented Generation pipeline using LangChain, leveraging advanced generative AI tools and techniques such as Large Language Models (LLMs), Vector Databases, and Vector Search, resulting in improved accuracy and efficiency.
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- Spearheaded the creation of visually informative merchant product webpages visualizations using UMAP, enhancing the monitoring capabilities of the merchant monitoring solution and enabling swift identification of trends and anomalies.
- Designed and implemented a robust Web Crawler utilizing Apache Nutch and Apache Solr, coupled with Python for data analysis, to extract valuable insights from merchant's website, empowering stakeholders with actionable intelligence for informed decision-making.
CITI Bank
Technology Summer Analyst Intern
May 2023 — July 2023·Pune, India
- Automated UI testing by implementing Playwright and deploying on Lightspeed Enterprise, resulting in a significant acceleration of the testing process.
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- Contributed in the automation of API testing using Cucumber and Gherkins as well.
- Created a beautiful and data rich Tableau dashboard for Neueda Summer Analyst Hack conducted by Citi.
Samsung R&D Institute India
Machine Learning Research Intern
November 2022 — August 2023·Remote
- Conducted state-of-the-art research in Explainable AI in text, and developing innovative solutions with a team of researchers and engineers.
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- Creating a cutting-edge Deep Learning pipeline to automatically generate text ideas and acquire Concept Activation Vectors, resulting in an improved understanding of how NLP models make decisions and their performance.
Adobe
Adobe Career Academy '22
July 2022 — September 2022·Remote
- Participated in Adobe Career Academy, a comprehensive training program designed to enhance soft skills, communication skills, and other vital competencies.
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- Strengthened my creative and technical skills and gained a deep understanding of Adobe's businesses, values, and objectives.
Wipro
Data Analytics Intern
May 2022 — July 2022·Bangalore, India
- Developed an event log correlation engine using Apache Flink to proactively identify and solve customer and user issues faced while using Wipro VirtuaDesk, which helped the company to effectively address customer issues and improve user experience.
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- Gained practical experience in data analytics and worked collaboratively with team members to deliver impactful solutions in a fast-paced corporate environment.
Byte Avenue
Machine Learning Intern
September 2021 — May 2022·Remote
- Spearheaded the development of a personalized Machine Learning solution to tackle common coding challenges.
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- Leveraged PyTorch to build a robust Deep Learning pipeline and API, incorporating GraphCodeBERT and other components to perform Code Similarity Task.
- Enabled Byte Avenue to get into funding programs of major corporations, including Microsoft and Razorpay, by demonstrating the efficacy of the solution in solving real-world coding problems.