Available for Opportunities

Ashhad Ahmed Kamran

Building Adaptive Agentic Systems

AI Engineer · GPA 3.93/4.0 · Ranked 1st · Dawood University

Ashhad Ahmed Kamran

Professional Summary

Results-driven AI Engineer with couple years of experience in software development using Python. Specialized in building adaptive agentic AI systems, prompt chaining, and programmatic feedback loops with human-in-the-loop integration. Expert in RAG architectures, data manipulation, and deploying evaluation agents to ensure LLM reliability. Proven ability to translate complex machine learning concepts into scalable production solutions.

Education

Dawood University
Oct 2022 – Present

BS in Artificial Intelligence

Dawood University of Engineering and Technology | Karachi, Pakistan

Core Focus: Python, DSA, AI/ML, Neural Networks, Predictive Analytics, Data Science.

GPA: 3.93/4.0 · Ranked 1st in Batch

Sapienza University
Mar 2025 – Jul 2025

Exchange Semester: Applied CS and AI

Sapienza Università di Roma | Rome, Italy

Relevant Coursework: Advanced Machine Learning, Agentic AI, Computer Vision Lab.

Erasmus+ Exchange Program Scholar

Work Experience

Oct 2024 – Nov 2025

AI Engineer (Python Developer)

Onestop Vendors | Karachi, Pakistan

  • Architected adaptive agentic AI systems using LangGraph, utilizing prompt chaining to automate complex customer workflows, improving response relevance by 40%.
  • Developed programmatic feedback loops with human-in-the-loop checkpoints for high-stakes voice/chat interactions, ensuring 100% accuracy in data capture.
  • Integrated Qdrant/FAISS vector databases and optimized data manipulation scripts, reducing system latency by 30%.
  • Engineered real-time STT/TTS pipelines, reducing interaction delays by 500ms for enterprise-grade AI agents.
Aug 2024 – Sep 2024

AI Intern

Arcana Info (Pvt.) Ltd | Karachi, Pakistan

  • Deployed ML models on IBM Watson using Scikit-learn for predictive intent analysis, achieving 92% accuracy.
  • Automated complex data reporting using Python and IBM Analytics, saving 10+ hours of manual work weekly.

Technical Skills

Technologies and tools I work with to build intelligent systems.

Machine Learning

PyTorch TensorFlow Scikit-Learn Neural Networks Computer Vision NLP

AI Systems

LangChain / LangGraph RAG Architectures Vector Databases LLM APIs & Prompt Eng. Qdrant FAISS OpenAI

Programming Languages

Python SQL JavaScript Pandas NumPy C

Tools & Cloud

Docker Git / GitHub Cloud Platforms (AWS/Azure) Linux IBM Watson Azure Cosmos DB

Projects

A showcase of AI & ML engineering work, from research to production systems.

AI Systems

EmCon AgenticAI Based Communication Tool

Autonomous AI agent using prompt chaining to manage scheduling via email, with evaluation agents for calendar verification and human-in-the-loop confirmations.

LangGraph LangChain Prompt Chaining Python

Key Achievements

  • Reduced manual scheduling time by 95%
  • Human-in-the-loop checkpoint integration
  • Programmatic feedback loop architecture
Data Science

Multimodal Visual Search Engine

End-to-end image retrieval system using ResNet18 and GRU with PCA dimensionality reduction on a 10k+ image dataset. Features semantic search and top-K retrieval.

PyTorch ResNet18 GRU PCA Scikit-learn

Key Achievements

  • 94% top-5 accuracy on image retrieval
  • Processed 10,000+ image dataset
  • Streamlit UI with real-time search
AI Systems

AI-Powered Voice & Sales Automation

Enterprise-grade voice agent with IVR system leveraging LLM reasoning to intelligently route customer intents. Features real-time STT/TTS with sub-500ms latency.

LLM APIs STT/TTS LangChain Prompt Eng. Python

Key Achievements

  • Routes 98% of customer intents correctly
  • Reduced interaction delays by 500ms
  • Edge case handling via prompt engineering

Certifications

Deep Learning Specialization Stanford Online (Coursera) View Details & Certificate →
Machine Learning Specialization Stanford Online (Coursera) View Details & Certificate →
Introduction to Python Verification Completed View Details & Certificate →
Intermediate Python Verification Completed View Details & Certificate →