Summary
Overview
Work History
Education
Skills
Projects
Certification
Timeline
Generic
Muhammad Usama Aslam

Muhammad Usama Aslam

Metairie

Summary

AI engineer and data scientist specializing in Python with expertise in LLM applications, agent systems, and applied machine learning. Proven track record in developing MCP tools, evaluation pipelines, and AI gym environments for testing reasoning and planning capabilities. Proficient in backend development, data workflows, and model-driven applications.

Overview

2026
2026
years of professional experience
3
3
Certifications

Work History

Python Developer

Turing
11.2022 - 05.2025
  • Produced high-quality datasets for fine-tuning and evaluating large language models, improving model performance across various domains.
  • Generated iterative debugging traces to replicate human-like reasoning in multi-step coding tasks, facilitating more accurate model training.
  • Curated API-focused datasets to enhance tool-use and retrieval capabilities in agentic LLMs, increasing efficiency in response generation.
  • Created repository completion datasets to enable models to infer missing code segments from partial project structures.
  • Designed agentic reasoning scenarios that required chain-of-thought problem solving and tool invocation using simulated compute environments.
  • Collaborated with AI training team at a leading AI company to drive innovative projects.

Freelancer as Data Scientist

Upwork
Lahore
03.2018 - 01.2023
  • Conducted data analytics tasks, applying machine learning techniques to derive actionable insights.
  • Consulted on Power BI for Pyxera Global, improving data visualization for enhanced decision-making.
  • Executed automation projects on Twitter, streamlining data collection and analysis to support strategic insights.

Sr. Software Engineer

AmericanMTS
03.2018 - 12.2022
  • Spearheaded development of IoT-based condition monitoring platform, enhancing predictive maintenance capabilities.
  • Designed and implemented real-time data ingestion pipelines from sensors tracking temperature, vibration, and pressure.
  • Led team of 3 developers in defining technical architecture with Python, MQTT, and MongoDB, improving system scalability.
  • Delivered all modules on schedule through proactive project management and coordination.

Junior .Net Developer and Test Engineer

NorthStar IT Solutions
Lahore
11.2016 - 02.2018
  • Developed features as junior .NET developer and contributed to DevOps practices.
  • Implemented forex trading platform, enhancing user experience and functionality.
  • Utilized Azure deployment services and VSTS to streamline project delivery.

AI Engineer

Pareto.AI
San Francisco
  • Created AI gym environments to evaluate LLM agents on multi-step reasoning and task completion.
  • Established reproducible task environments with scoring failure cases and benchmark evaluation loops to facilitate consistent evaluation.
  • Developed and integrated MCP tools enabling LLM agents to efficiently interact with external systems.
  • Designed schemas for input validation and execution flows, enhancing reliability of agentic tasks with retrieval APIs.

Education

M.Sc. - Electrical & Computer Engineering

University of Engineering and technology
Lahore
12-2024

B.Sc. - Electrical Engineering

University of Engineering and technology
Lahore
07-2016

Skills

AI workflows

Model evaluation

Data warehousing

  • API integration

Languages: Python, SQL

Infra / Dev Tools: Docker, Git, Azure, MQTT, MongoDB

Visualization / Apps: Streamlit, Power BI

Projects

LightRAG Retrieval System

Built a retrieval augmented generation system using LightRAG for document search and grounded question answering over custom data sources. Developed ingestion, chunking, indexing, and retrieval workflows to improve context relevance and answer quality. Combined retrieval with LLM generation to support domain specific information access.

LangChain Chess Analyzer

Built an interactive chess analysis application using Streamlit, Stockfish, and LangChain. Identified blunders, missed tactics, and evaluation swings using centipawn based engine analysis. Generated phase wise game summaries from PGN data using LLM based insights for opening, middlegame, and endgame review.

Certification

Analyzing and Visualizing Data with Power BI

Timeline

Python Developer

Turing
11.2022 - 05.2025

Freelancer as Data Scientist

Upwork
03.2018 - 01.2023

Sr. Software Engineer

AmericanMTS
03.2018 - 12.2022

Junior .Net Developer and Test Engineer

NorthStar IT Solutions
11.2016 - 02.2018

AI Engineer

Pareto.AI

M.Sc. - Electrical & Computer Engineering

University of Engineering and technology

B.Sc. - Electrical Engineering

University of Engineering and technology
Muhammad Usama Aslam