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MLOps Engineer with 1+ years in GenAI & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer, Data Scientist, GenAI and MLOps Specialist experienced in building LLM- and RAG-powered chatbots, intelligent automation, and scalable AI pipelines using Python, LangChain, FastAPI, Docker, Kubernetes, MLflow, and AWS. Strong background in data science, machine learning, deep learning, data analysis, web scraping, CI/CD, and cloud deployment, with expertise in Agentic AI, n8n, Twilio, and Airtable to deliver production-ready, business-driven AI, Data Science, Data Analysis, Machine Learning, Deep Learning solutions.
University of Karachi
BS · Software Engineering
August 1, 2021 – June 30, 2024
Level3 BOS
Data Analyst, Machine Learning Engineer
February 1, 2026 – May 31, 2026
Karachi, Sindh, Pakistan
DA Prime Productions
Data Scientist, Web Scraper
January 1, 2025 – August 31, 2025
Karachi, Sindh, Pakistan
Voice-Enabled School Assistant.
February 1, 2026 – February 28, 2026
Built an autonomous agent that scrapes real-time data from a UAE school portal using Langchain/SiteMapLoader. Integrated STT/TTS for hands-free QA and developed a data pipeline to convert unstructured web content into a structured, high-accuracy knowledge base.
Adidas WhatsApp Agent for Customer Support
January 1, 2026 – January 31, 2026
Built an end-to-end WhatsApp AI customer support agent using n8n, Twilio, Airtable, and Groq-powered LLMs, enabling automated, real-time responses to customer queries. Designed intelligent workflows for message handling, context management, and data retrieval, delivering scalable and efficient customer support automation.
View ProjectVendor Behaviour Analysis (Data Analysis)
December 1, 2025 – December 31, 2025
Developed a Vendor Behavior Analysis System by preprocessing large CSV datasets, performing ETL and EDA, and applied data analysis techniques. Created interactive Power BI dashboards to visualize key trends, enabling informed decision-making for vendor management and procurement.
AI-Powered Recruitment Automation with RAG and LLMs
December 1, 2024 – December 31, 2024
Built an advanced Generative AI system using RAG and LLMs to automate job description creation, CV generation, and tailored interview question formulation, showcasing expertise in NLP, prompt engineering, and end-to-end AI solutions for recruitment and career development.
Cultural Fit Analysis
The candidate's project diversity, ranging from AI customer support agents to recruitment automation and vendor behavior analysis, indicates adaptability and a broad interest in applying AI/ML solutions across different domains. The listed experience as a Data Analyst and Machine Learning Engineer aligns well with the target MLOps Engineer role, showing a progression towards operationalizing ML models. The breadth of technical skills (Python, various AI/ML frameworks, cloud platforms, MLOps tools) suggests a proactive learning attitude, which is beneficial for cultural fit in dynamic technical environments.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, project management, and communication as soft skills. The project descriptions indicate an ability to work on end-to-end solutions and integrate various technologies, suggesting good operational fit for roles requiring initiative and system integration. However, without direct interview data, the practical application of these soft skills cannot be fully assessed.