About Me

You know that feeling when you see AI capabilities advancing at a staggering rate? That's what gets me up every morning.

My current fixations: agentic AI frameworks, CUDA optimization, and the messy reality of deploying intelligent systems at scale. I've been deep in everything from genetic algorithms optimizing prompts to 3D neural reconstruction with Gaussian Splatting.

The real magic happens at the boundaries; where research meets reality, where software meets silicon, where human intent meets machine capability.

Expertise

AI/ML

Python PyTorch TensorFlow Computer Vision YOLOv8

Data Engineering

PySpark PostgreSQL MySQL Apache Spark

Frameworks

CrewAI LangChain Flask Streamlit

Education

MS Computer Science

Karlsruhe Institute of Technology

2025 - 2027

BS Computer Science

National University of Computer and Emerging Sciences

2021 - 2025

Notable Projects

Professional Experience

AI Engineer & Product Lead

Adept Tech Solutions

Feb 2025 - Present

Spearheaded development of advanced data synthesis and analysis systems using PySpark, statistical modeling, and computer vision, achieving 10x improvement in data generation accuracy and automation of complex workflows. Led deployment of production-ready CLI tools with distributed computing optimization across Spark clusters, enabling seamless pipeline execution and improving geospatial analysis accuracy by 40%.

PySpark
Computer Vision
YOLOv8
Open3D
PostgreSQL

AI Engineer

Antematter

Jul 2024 - Feb 2025

Contributed to the development of various Multi-Agent Frameworks using orchestration frameworks, including CrewAI, LangChain, ELIZA, and Phidata, significantly boosting company outreach by 10x. Developed Ant-AI, a genetic multi-agent framework built with CrewAI to optimize system prompts for low-parameter LLMs, reducing input prompt ambiguity by 70% and fully automating prompt engineering.

CrewAI
LangChain
ELIZA
Genetic Algorithms
Streamlit

Research Assistant

DataInsight

Jun 2023 - Sep 2023

Made contributions to the domain of Machine Learning, actively participating in a project valued at $90,000. Leveraged Python, TensorFlow, and various image processing libraries to develop an AI-driven YOLO + image processing pipeline for efficient recognition of handwritten and printed text, enhancing dataset acquisition speed 2.5x.

Python
TensorFlow
YOLO
TrOCR
DocParser

Project Trainee

Afiniti Software Solutions

Jun 2020 - Aug 2020

Engaged in software development activities, including the design and implementation of Natural Language Processing (NLP) and Speech to Text systems powered by Artificial Intelligence. Actively participated in client interactions, ensuring their requirements were met with AI-enhanced solutions.

NLP
Speech-to-Text
AI Systems

Let's Connect

Ready to collaborate on cutting-edge AI solutions? Let's discuss how we can build the future together.