Profile

Software Developer with strong experience in backend systems, automation, and applied machine learning. Proven expertise in web crawling, distributed systems, document pipelines, and secure data delivery using TypeScript, Kafka, Redis, Python and React.js. Adept at collaborating with senior stakeholders while independently owning implementation.

Professional Experience
CIB Analyst (Software Developer), JP Morgan Chase
Nov 2025 – Present
  • •Architected and developed an enterprise-grade agentic AI Sales Assistant for Sales, Research & Markets, implementing routing orchestrator, 15+ specialized AI agents and an MCP-based tool layer integrating APIs, Amazon S3, databases, access control and utility services for intelligent enterprise data retrieval.
  • •Designed scalable data pipelines supporting 25K+ clients across 15+ data sources, leveraging AWS S3, Athena, Glue, and Lake Formation to ingest, transform, curate, and serve enterprise datasets to AI agents and downstream applications.
  • •Engineered MCP-based data access workflows enabling AI agents to securely discover, retrieve, and contextualize client, market, and business data from multiple enterprise systems for natural-language front-office workflows.
  • •Designed modular agent orchestration patterns enabling specialized agents to independently interact with relevant data sources and tools, simplifying integration of new capabilities into the Sales Assistant.
  • •Integrated LLMs and AI agents into internal platforms for client summarization, sentiment analysis, pattern recognition, data retrieval, and automated insight generation across multiple enterprise data sources.
  • •Architected and migrated 20+ internal services to AWS using Terraform, ECS, NLB, and CI/CD pipelines, including authentication, App-to-App communication, databases, digital certificates, and production infrastructure.
  • •Engineered containerized workloads and data-processing services on ECS, including scheduled tasks and gateway services behind NLBs to support scalable and reliable production workloads.
  • •Developed a configuration-driven Flask backend platform supporting multiple internal applications through dynamic route generation, centralized authentication, application-level authorization, and configuration-based service management.
  • •Owned cloud infrastructure enablement for the team, provisioning AWS resources and coordinating Athena, database, data-lake, authentication, and production access requirements across multiple applications.
  • •Built automated market-data pipelines consuming large-scale Market Data Lake datasets and exposing curated, near-real-time datasets through virtual views for downstream analytics and AI applications.
  • •Designed and implemented a validation framework for EDG Sales Assistant with 7 automated validation checks, achieving 95% accuracy and 100% true-negative detection against ground truth.
  • •Engineered an automated News Intelligence pipeline incorporating keyword filtering, historical deduplication, similarity-based clustering, and sector-wise distribution of weekly company news summaries.
  • •Developed reusable backend components and data-processing frameworks to standardize application development and reduce duplicated implementation across Research and Sales applications.
  • •Collaborated with senior stakeholders and front-office teams to translate business requirements into production-grade software solutions supporting analysts, Sales, Research, and management across JPMC CIB.
    • Junior Analyst (Software Developer), Institutional Shareholder Services Stoxx
    Jul 2024 – Oct 2025
  • •Engineered a dynamic, scalable, autonomous web crawling company crawling system, reducing processing time from 30+ days to under 3 days in TypeScript and Python using BFS traversal with Kafka-driven orchestration and Redis process sync, having over 95% targeted document retrieval.
  • •Boosted classification accuracy by 20% using regex-based parsing on filename, anchor text, and surrounding Text around Link context by parsing DOM during crawling for documents from websites.
  • •Refactored internal TypeScript downloader with bulk URL support, lazy Chrome instantiation, and failure tracking - reducing download overhead by 40%.
  • •Added TTL caching to the Java Parser process of crawlers, reducing API requests by 80%, improving throughput.
  • •Integrated password-protected Excel generation using native Java in feeds, improving client security while eliminating paid libraries.
  • •Revamped API documentation and fixed a critical bug which resulted in NULL Exceptions in Services introduced during Java Services Migration and observability tooling, accelerating developer onboarding, reducing misconfigurations, and mishits on APIs.
  • •Managed Kubernetes infrastructure across multiple clusters and namespaces, handling deployments, monitoring pod health, and automating YAML generation and rollout processes using tools like K9S and Kustomize.
    • Software Developer Intern, Arcon
    Jun 2023 – Aug 2023
  • •Broadened knowledge of ARCON Privileged Access Management (PAM) and onboarding automation with Selenium tools
  • •Optimized existing APIs reducing access time of response utilizing caching for faster retrievals by 10%
  • •Worked on automation of provisioning and de-provisioning of user accounts similar to Single Sign On like Okta, and Google
    • Skills
    Programming Languages — Python, JavaScript, Java, C++|Development — React.js, Node.js, Express, Kafka, FastAPI, Flask, MongoDB, Redis, Postgres, HTML, CSS|Machine Learning — LLMs, Scikit-learn, Tensorflow, Pandas, Numpy, OpenCV, Matplotlib|Tools — Kubernetes, Docker, AWS, BeautifulSoup, Selenium, K9S, Git, Jenkins, MS Office
    Education

    Dwarkadas J. Sanghvi College of Engineering

    B.Tech - Computer Engineering (Data Science), Honors in Computational Finance
    2020 – 2024
  • •CGPA - 9.63, Interdepartment Badminton Team Captain and Tournament Winner
    • Projects
    Incento - Promotion Engine⁠, React.js, Node.js, Flask, MongoDB
  • •Built a scalable Promotion Engine, where I worked on the frontend with React.js and integrated it with Node.js backend for coupon verification and generation, and ML-based customer analysis using Apriori algorithm. The application also includes a Flutter SDK Integration, and an intuitive admin page, resulting in an increase in coupon redemption rates for small and large-scale companies
    • Ecosense Remote Sensing, Python, Remote Sensing, Multithreading, Deep Learning
  • •Real-time data pipeline using remote sensing and satellite imagery to monitor vegetation and predict deforestation in an area over the years. Applied image processing to process satellite data stream with thread architecture, showing accurate vegetation percentage of place and geo-mapping of terrain. Technologies utilized for this are Python, GIS, OpenCV, remote sensing, and parallel computing.
    • Karla Bot⁠, Python, NLP, OCR, SMTP
  • •Developed an email monitoring bot utilizing NLP for flagging potential leads for businesses, Azure Cognitive Services OCR for Foreign Identity Verification checks through attachments, and SMTP for sending appropriate replies achieving an accuracy rate of approximately 85% with the NLP model accurately processing the email contents.
    • Courses and Certifications
    Achievements / Positions of Responsibilities
  • •1st Place Winner at Intercollege Hackathon conducted by TIAA out of 20+ teams representing their college. [Github]⁠
  • •1st Place Winner at LOC 5.0, 24 hour Hackathon organized by ACM, DJSCE [Github]⁠
  • •Second Runner Up in Doceree and TechGig Machine learning Hackathon from over 3000+ participants [Github]⁠
  • •Second Runner Up in Unscript Rookie Machine Learning Hackathon, conducted by FCRCE [Github]⁠
  • •550+ Problem solved on Leetcode [Profile]⁠

  • •Vice-Chairperson Tech at DJS Compute - Organizing hackathons and workshops, catering to 1200+ participants. Mentored and Led a team of over 50+ students to conduct lectures, seminars by industry experts, and workshops on notable topics like Machine Learning, MLOps, Competitive Programming, App, and Web Development.