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AI Engineer with 5+ years in AI system design and deployment.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Agentic AI Engineer with 5+ years of experience designing and deploying autonomous AI systems and multi-agent workflows to solve complex enterprise challenges. Proficient in CrewAI, LangChain, and LangGraph for orchestrating collaborative AI agents in compliance automation, real-time analytics, and edge AI deployment. Deep expertise in LLM fine-tuning (Llama 2, GPT-4 via LoRA/QLoRA) and RAG pipelines (FAISS, ChromaDB). Certified in Multi-Agent Systems with a strong track record of integrating scalable cloud solutions on AWS and GCP. Collaborative leader experienced in reducing manual workflows by 50% through AI-driven task delegation.
Virtual University of Pakistan
BS · Computer Science
August 1, 2017 – June 30, 2021
Saha Group of Colleges
F.Sc · Pre-Engineering
June 1, 2015 – May 31, 2017
Tharsol
Senior Data Scientist (Agentic Focus)
April 1, 2022 – Present
India
BrickClay
Data Analyst / BI Engineer
July 1, 2021 – March 1, 2022
India
Multi-Agent Systems with CrewAI
DeepLearning.AI
January 1, 2025 – Present
Fine-tuning Large Language Models
DeepLearning.AI
January 1, 2024 – Present
Building Multimodal Search and RAG
DeepLearning.AI
January 1, 2024 – Present
Functions, Tools and Agents with LangChain
DeepLearning.AI
January 1, 2024 – Present
AWS Knowledge: Data Migration Specialist
AWS
January 1, 2024 – Present
IBM Data Science Professional Certificate
IBM
January 1, 2022 – Present
Docker & Git Certifications
TestDome
January 1, 2022 – Present
TensorFlow Developer Certification
DeepLearning.AI
January 1, 2021 – Present
Cultural Fit Analysis
The candidate's experience spans pharmaceutical IT services and BI consulting, indicating adaptability across different industry domains. Their work on multi-agent systems, real-time analytics, and supply chain optimization showcases a diverse application of AI skills. The emphasis on team leadership and mentorship aligns with a collaborative culture. However, the absence of personal projects or community contributions limits the ability to fully assess broader cultural alignment beyond professional roles.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentorship skills, as evidenced by guiding junior engineers and boosting team productivity. Their experience in implementing AI governance frameworks suggests an understanding of operational best practices and regulatory compliance. The focus on reducing manual effort through AI-driven task delegation indicates a proactive problem-solving approach and efficiency mindset. However, without specific psychometric or English test results, a comprehensive assessment of stress handling, work attitude, and team collaboration is not possible.