About me

I'm Ankit, and I pursued my passion in Computer Science from Arizona State University. My three years of professional experience spans across building large-scale distributed systems and modern full-stack applications.

In my current role at Enterprise Technology, I took ownership of developing an AI Avatar that responds and interacts with users through speech and expressions. I built the infrastructure to bi-directionally stream audio data, while transpiling responses into synchronized lip-sync movements and gestures, delivering the best possible user experience. Through this project, I represented my university at the Global Silicon Valley Conference (GSV) and later deployed the product at a medical school.

My knack for problem-solving, analytical thought process, and strong leadership qualities have been pivotal to my achievements. Throughout my time at Enterprise Technology and LTIMindtree, I've consistently delivered results that not only meet but surpassed customer expectations. This dedication has earned me numerous awards and recognitions from the senior leadership level, underscoring my commitment to excellence.

What I bring to the table

  • design icon

    Distributed Systems

    Experience in handling Edge infrastructure, high-throughput data and query processing in streaming/payment services.

  • Web development icon

    Full-Stack Development

    Developing responsive user-interfaces and consuming backend APIs/gRPC services using React, TypeScript, Java, Go, and GraphQL.

  • cloud app icon

    DevOps and Cloud Services

    Skilled in setting up CI/CD pipelines, containerizing applications, Linux, and observability systems, with expertise in scaling cloud-native applications on AWS, GCP, and Azure.

  • camera icon

    Mobile Development

    Proficient in Swift, Objective-C, Apple’s ecosystem (Vision Framework, UIKit, PkPass, ARKit), and building cross-platform apps using React Native.

Education

Education

  1. Arizona State University

    Master of Science (MS) in Computer Science GPA: 4.0/4.0 Aug 2023 — May 2025

    Data Structures & Analysis of Algorithms, Distributed Database Systems, Data Visualization, Data Mining, Knowledge Representation & Reasoning, Engineering Blockchain

  2. University of Mumbai

    Bachelor of Engineering (BE) in Computer Science GPA: 3.56/4.0 Aug 2017 — May 2021

    Object Oriented Programming, Database Management System, Artificial Intelligence, Operating Systems, Automata Theory, Android App Development, Cloud Computing, Big Data & Analysis

Experience

Enterprise Technology, Tempe, Arizona

  1. AI Full-Stack Developer

    Aug 2024 – Present

    1. Building three scalable full-stack platforms for over 80,000 users to create, compare and interact with custom AI Agents utilizing multi-model streaming via Microsoft Autogen to support text processing and RAG workflows

    2. Enhanced Milvus Vector Database by optimizing indexing and query execution for storing word embeddings, improving backend and search efficiency by 30%.

    3. Led Anam SDK integration in React with TypeScript to embed a live 3D avatar which speaks LLM-generated responses for real-time interaction; presented at the Global Silicon Valley (GSV) Conference, attracting interest from multinational firms

    4. Programmed Python backend for user authorization, and logging for media management in AWS DynamoDB, SQS, and S3, handling over 2,500 user actions per minute and ensuring request schema validation for API Gateway events

HER Heard (MIT Sandbox), Cambridge, Massachusetts

  1. Software Engineer Intern

    May 2024 – Aug 2024

    1. Achieved a 40% growth in the user base by developing in-app features such as podcasts, user connections, and a health tracker, leveraging React for the frontend and consuming REST APIs with Golang for backend integration.

    2. Reduced screen load times by 30% through optimizing data rendering (images, 3D models/WebGL), incorporating AWS CloudFront for caching, and deploying efficient state management with ReactJS Hooks and Redux.

    3. Designed and optimized gRPC services with custom middleware and interceptors, reducing service latency to 30%.

    4. Architected database schemas, applied indexing strategies, and wrote optimized SQL queries, boosting query performance by 36% and decreasing data retrieval time by 42%.

Skechers Ireland, Cork, Ireland

  1. Software Engineer (Freelance)

    Mar 2023 — Jul 2023

    1. Built, and deployed micro-services in Spring Boot (Java) for a leading apparel firm, improving order pricing workflows and maintaining a scalable system architecture, resulting in a 35% decrease in payment processing time

    2. Elevated the accuracy of trend forecasting by 40% with the creation of Streamer and Server-Side Components for managing real-time data, incorporating Apache Kafka for enhanced forecasting of market trends and sales feeds.

    3. Reduced data transfer latency by 60% by coding serverless scripts to migrate 60 gigabyte of daily logs to a Big Data system.

    4. Utilized Redis (Distributed Cache) as a middleware, accomplishing a 91% decrease in server response time and a 45% decrease in memory usage through integrated data compression techniques.

LTIMindtree (Larsen & Toubro Infotech), Mumbai, India

  1. Software Engineer 2

    Jun 2021 – Jun 2023

    1. Drove a large-scale migration plan for the largest bank in the Middle East, transitioning on-premise systems to AWS using Python scripts. Leveraged AWS services such as S3, EC2, CloudFront, and RDS to build a high-availability infrastructure.

    2. Designed and executed a project that achieved a 30% reduction in processing latency by implementing event-driven and asynchronous communication mechanism on message queues following Publisher-Subscriber (Pub/Sub) design patterns.

    3. Achieved a 60% decrease in deployment time by designing User Interfaces (UI) and writing Bash Scripts for one-click deployment with HTML, CSS, and JavaScript, enhancing CI/CD pipeline orchestration in WebSphere (Linux) servers.

    4. Reduced cache misses by 30% through a buffer management system in Redis by utilizing eviction policies and data prefetching.

    5. Delivered a 60% decrease in deployment time by making User Interfaces (UI) and writing Perl Scripts for one-click deployment with HTML, CSS, and JavaScript, enhancing CI/CD pipeline orchestration in WebSphere (Linux) servers.

Projects

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