Portfolio

Resume

Experience

  1. MEDISCAN AI

    Software Engineer

    Seattle, WA

    April 2025 – Present
    • - Architected and containerized production-grade microservices using Docker, supporting multi-million document transactions per month with high reliability and scalability
    • - Designed and implemented OCR pipelines using multiple Large Language Models (Gemini, GPT) to validate PDF content and transcribe documents into structured formats
    • - Built robust PDF compression and corruption-handling pipelines, improving processing stability and downstream data quality
    • - Developed export workflows to generate customer-ready, downloadable files following document summarization
    • - Exposed MediScan's document processing engine through public APIs, enabling customers to ingest, compress, OCR, and summarize files programmatically

  2. RECRUIT AI

    Co-founder, Software Engineer

    AI-driven Applicant Tracking System that streamlines the hiring process by automating key recruitment tasks. (Awarded Top 10% YC2025)

    June 2024 — April 2025
    • - Designed and implemented a secure recruitment platform with a 99.99% uptime, supporting 10,000+ concurrent transactions from load tests
    • - Developed a Spring-based backend integrated with NoSQL databases, improving query efficiency by 35%.
    • - Architected scalable microservices to automate recruitment workflows, ensuring high fault tolerance and availability.

  3. AMAZON

    Software Engineer

    June 2022 — June 2024
    • - Led the design and implementation of an automated registration system for third-party merchant fulfillers, supporting the launch of Amazon’s South Africa marketplace, and reduced manual onboarding tasks by 15%, significantly enhancing the efficiency and scalability of merchant integration.
    • - Directed the transformation of global shipping delivery regions into optimized tile-based formations, improving the clarity and manageability of delivery regions, and streamlined shipping route management, reducing processing times by 21% and enabling more effective logistics planning.
    • - Engineered a high-performance script to identify and eliminate redundant data storage across Amazon Shipping Engine’s infrastructure, achieving a 13% reduction in storage costs and boosting overall system performance and data management efficiency, supporting Amazon’s scalable growth.

  4. AMITY

    Co-Founder

    Software Engineer

    May 2020 — August 2022
    • - Data-driven Learning Management Software start-up funded by Dartmouth Tuck-Magnuson Incubator (Launched in Dartmouth, Emory, University of Tennessee)
    • - Developed dashboard, discussion board, messaging section, and survey capability using Universal Windows Platform
    • - Implemented live data transfer capability using TCP connection and API on Azure Asp.net backend
    • - Designed overall software architecture: API/Socket, Database, and Security flow

  5. OAKRIDGE NATIONAL LABORATORY

    Research Intern

    May - August 2019
    • Data-driven Learning Management Software start-up funded by Dartmouth Tuck-Magnuson Incubator (Launched in Dartmouth, Emory, University of Tennessee)
    • Developed dashboard, discussion board, messaging section, and survey capability using Universal Windows Platform
    • - Implemented live data transfer capability using TCP connection and API on Azure Asp.net backend
    • - Designed overall software architecture: API/Socket, Database, and Security flow

Education

  1. Emory University

    2017 - 2022 (2021 - Gap year to participate in Tuck Incubator for Amity)

    Bachelor in Computer Science

My skills

  • Programming Languages
    Java, Python, C#, Objective-C, Swift, Java Script
  • Database Expertise
    Relational (SQL) and NoSQL (MongoDB, Cassandra)
  • Frameworks and Tools
    Vision OS, Mac OS, Unity, Spring, .NET, TensorFlow, Hibernate
  • Cloud Platforms
    Azure, AWS
  • Distributed Systems
    Microservices, REST APIs, Kafka, gRPC, TCP - building scalable systems with public API exposure
  • Containerization and Orchestration
    Kubernetes, Docker - architecting and containerizing production-grade microservices supporting multi-million transactions per month
  • AI-Driven Platforms
    Expertise in building AI-powered solutions including OCR pipelines, Large Language Models (Gemini, GPT), document processing, and recruitment/learning management systems
  • AR/VR Development
    Extensive experience with Unity, ARKit, and Oculus Quest for immersive experiences
  • Web development
    Frontend and backend web development

About me

I am a results-driven software engineer and entrepreneur with a passion for leveraging technology to solve complex problems and improve user experiences. With over five years of experience in software development, I have built expertise in programming, distributed systems, cloud platforms, and cutting-edge technologies like augmented and virtual reality, machine learning, and AI-driven platforms.

As a co-founder of multiple startups, including AI-driven recruitment and learning management platforms, I have a proven track record of designing scalable architectures, optimizing workflows, and leading cross-functional teams to deliver high-impact solutions. My technical proficiency spans modern programming languages, cloud environments like AWS and Azure, and frameworks such as Kubernetes, TensorFlow, Unity, and Spring.

In addition to my professional roles, I have developed immersive AR/VR applications for real-time navigation and emergency response training, enhancing safety and situational awareness. My work is driven by a commitment to innovation, continuous learning, and a desire to make a meaningful impact through technology.

What i'm doing

  • design icon

    Scalable Backend Systems

    I design and implement robust backend architectures using frameworks like Spring, ASP.NET, and Node.js.

  • Web development icon

    AR/VR Development

    I create immersive AR/VR applications for platforms like Unity, focusing on innovative and user-centric solutions.

  • mobile app icon

    AI/ML Solutions

    I develop data-driven machine learning models and AI systems using TensorFlow, PyTorch, and Azure.

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    Process Optimization

    I streamline processes to enhance efficiency, reduce costs, and improve system performance.

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