Professional Experience
Technical Lead, Big Kitty Labs⁠
Apr 2024 – Present | Columbus, US (Remote)
  • •Lead end-to-end development of AI-powered products, managing cross-functional teams across ML and full-stack engineering.
  • •Architect scalable systems including LLM integrations, RAG pipelines, multitenant architectures, APIs, and payment systems.
  • •Own technical scoping, system design, and AI/ML project estimation (cost, timelines) for client engagements.
  • •Drive client-facing delivery, requirements gathering, and SOW/proposal authoring, contributing to $3M+ revenue (2025).
  • •Delivered key AI solutions including:
  • •RAG-based mobile application for contextual knowledge querying (LangGraph, LLMs)
  • •Semantic search engine for government proposal discovery (NLP, vector search)
  • •AI training platforms for law enforcement agencies
  • •Technical lead for PraosHealth (healthcare), leading Agile development and AI system architecture.
  • •Built an AI-powered logistics optimization platform (routing, allocation, cost modeling).
    • Aug 2023 – Jun 2024 | Lahore, Pakistan
  • •Taught 50+ students per section in Database Systems and Computer Organization & Assembly Language.
  • •Covered SQL, data modeling, and systems fundamentals through lectures and practical sessions.
  • •Achieved 93% student satisfaction, reflecting strong communication and engagement.
    • Senior Software Engineer, Exper Labs⁠
    Nov 2022 – Mar 2023 | Lahore, Pakistan
  • •Built scalable microservices using Java Spring Boot for Eloquii’s ⁠high-traffic e-commerce platform.
  • •Integrated Walmart APIs to ensure CCPA compliance and enhance data privacy workflows.
  • •Optimized ETL pipelines and SQL queries, improving system performance and data reliability.
  • •Developed unit and integration tests (JUnit) to ensure code quality and scalability.
    • Aug 2021 – Apr 2022 | Lahore, Pakistan
  • •Developed and maintained several customized data-centric web applications and services using Java Spring Boot, Angular, React, SQL, and Agile/SCRUM methodologies.
  • •Integrated new features for the flywheel web-app using Angular, React and HTML/CSS. Led a team responsible for shifting Flywheel-digital⁠’s frontend from Angular to React.
  • •Worked in a Microservices based ecosystem that made extensive use of AWS cloud computing services.
  • •Authored multiple RESTful APIs. Used TeamCity and Octopus for CI/CD.
  • •Wrote bug reports, design documentations and OpenAPI (Swagger) specifications using JIRA and Confluence.
    • Data Quality Specialist, Strategic Systems International⁠
    Jul 2019 – Sep 2019 | Lahore, Pakistan
  • •Worked on finding anomalies in data collected from 10,000+ automated harvesters for ROPA⁠.
  • •Developed a C# based desktop application to automate the process of data anomaly detection and correction for incoming data. Interacted with SQL and NoSQL databases to scrape data from data dumps.
    • Education
    Bachelor's in Computer Science (BSCS), FAST, National University of Computers and Emerging Sciences
    Aug 2017 – Jun 2021 | Lahore, Pakistan
  • •Part of the Dean’s honor list in Fall 2017.
  • •Secured an A grade in Introduction to Computing, Intro to Computing Lab, Artificial Intelligence, Design and Analysis of Algorithms, Discrete Mathematics, Numerical Methods, Final Year Project I and II.
  • •GPA 3.10.

    • Personal Projects
    TripLog, (React | Node.js | Heroku)

    A website to allow users to visually map and keep track of their travel destinations. Used different libraries including MUI, Passport.js (authentication), Axios, Express, MongoDb and MapBox for this website.

    To-do List, (Vue.js | Node.js | Heroku)

    Made a simple and intuitive To-do list using Vue and Node.js. Employed Vue, Vue models, and Prime Vue elements in this project as well. Integrated google authentication as well.

    Humor Generator, (React | Flask | Python | GPT3)

    Developed an AI based website that leverages the power of GPT-3, an advanced language model developed by OpenAI, to provide users with humorous/​funny responses to input prompts. The language model was trained on a dataset of 200k+ jokes scraped from reddit's r/​jokes subreddit.

    Animal Distress Classifier, (Python | Colab | Tensorflow | Pandas)

    Developed an audio based classifier to help classify animal whimpers from a stream of incoming audio. This was done on Google collaboratory using Python. Also developed a python based web scraper to scrape audio from youtube video tags to train the classifier on. The audio was scraped according to the tags given by Google's Audioset⁠

    Publications
    Skills
    PythonLangchainFastAPIML-OpsYOLOOpenCVREST APIsReactViteReduxPostgreSQLAWSDockerK8sMySQLScrum/KanbanCore JavaJava 8Spring BootHibernateSpring MVCSpring DataSpring SecurityAngularNodeJSHTML 5/CSS 3/JavaScriptBootstrapOWASP principlesJPAGitBitBucketOracleIntelliJ IDEA/Eclipse/NetBeansJIRA / ConfluenceProblem SolvingDebuggingAgileTeamCityOctopusMicrosoft AzureReact Native
    Languages
    English
    Punjabi
    French
    Urdu/Hindi
    German/Deutsch
    Interests
    Cybersecurity/Ethical Hacking|HackTheBox/TryHackMe|Playing Musical Instruments|Astrophysics|Competitive Gaming (Dota 2)|Animal Rights Activism|Standup Comedy