Experience
Work Experience
MindOrbi
AI Product Engineer
Oct 2025 - Present
Key Responsibilities:
• AI Product Leadership: Led two AI products, MindOrbi and Vera Voice, spanning interview automation, job discovery, recommendation systems, and voice-based workflows
MindOrbi
• Job Intelligence Pipeline: Built the job ingestion workflow that scraped listings, stored them in the database, and used an LLM to enrich raw postings with structured fields that were difficult to extract reliably with simple rules
• Recommendation & Reranking: Designed the user-specific recommendation engine from onboarding and resume signals, using semantic retrieval with pgvector first and then reranking the filtered results with embeddings and PostgreSQL cosine distance to improve relevance beyond hard filters
Vera Voice
• Voice Intake Automation: Built a Twilio and LiveKit-based voice assistant for dental practices that handled concurrent inbound calls
• Call Classification & Tool Control: Classified calls into structured fields so the system could route and process them reliably, while using tool calling for dynamic call control, routing, and workflow handling during live conversations
Mazik Global (a Quisitive company)
Microsoft Partner specializing in Azure cloud solutions
Senior Solution Engineer
Jan 2025 – Oct 2025
Key Responsibilities:
• API Development & Microservices: Designed and developed scalable APIs and microservices architecture on Microsoft Azure platform
• AI/ML Integration: Implemented comprehensive AI solutions using Azure's AI stack including: - Azure Foundry and Azure AI Services - Azure Video Indexer and Azure Language Service - Azure AI Search and Azure OpenAI Foundry Models - Azure AI Document Intelligence
• Infrastructure as Code (IaC): Led deployment automation using both Terraform and Bicep, significantly reducing manual deployment time
• DevOps & CI/CD: Architected and implemented GitHub Actions pipelines for automated deployments to Web Apps and Function Apps across multiple environments (Dev, UAT, Production)
• Process Optimization: Developed one-click deployment solutions that eliminated manual processes, saving significant developer time and enabling seamless resource creation across preferred environments
• Data Engineering: Executed comprehensive Microsoft Fabric Data Engineering project featuring: - OneLake and Medallion architecture implementation - Fabric Data Factory with dynamic ETL pipelines - PySpark for big data transformation and dimensional modeling - Delta Parquet tables with data virtualization using shortcuts - Cross-database queries and API data integration - CI/CD deployment pipelines for data workflows
Seedinov
Lead AI/ML Engineer
2023 – 2025
Key Responsibilities:
• AI Research & Development: Spearheaded AI initiatives from research and solution design to architecture optimization and production deployment
• Team Leadership: Supervised a team of AI developers, delivering high-impact solutions and conducting performance optimizations across multiple client projects
• Computer Vision Solutions: Developed advanced computer vision applications using: - OpenCV, YOLO, and Ultralytics frameworks - Custom object detection and image processing pipelines
• Generative AI Implementation: Built comprehensive GenAI solutions including: - LLM integration (OpenAI, Claude, Gemini) via APIs and local models (Llama, DeepSeek) - Model fine-tuning and custom training pipelines - Image generation using DreamBooth techniques
• Backend Architecture: Designed and developed robust API endpoints and microservices for mobile and web applications, featuring: - Database optimization and ORM implementation - Authentication systems and DTO management - Project flow management with Redis/FastAPI state management - Rate limiting and security implementations
• No-Code / Low-Code Automation: Built n8n-based automation flows to streamline internal processes and reduce repetitive manual coordination
• Cloud Operations: Managed AWS infrastructure including EC2 deployments, S3 storage solutions, and Docker containerization
Teaching Experience
TechmaZone
Data Science Trainer
2022 - 2023
Key Responsibilities:
• Curriculum Development: Designed and delivered comprehensive "Applied Data Science with Python" program covering Python programming, data analysis, data science, and machine learning
• Educational Excellence: Conducted engaging lectures, created regular assessments and assignments, and provided detailed assignment reviews
• Student Mentorship: Led doubt-clearing sessions and provided career consultation to students on job acquisition strategies
• Performance Recognition: Awarded "Best Data Science Trainer" for exceptional teaching performance and student outcomes
• Academic Leadership: Maintained high student engagement and success rates through innovative teaching methodologies and personalized guidance
Leadership & Professional Development Fellowship
Amal Academy
Career-Prep Fellow
July 2022 - October 2022
Key Responsibilities:
• Fellowship Selection: Selected from 5,200+ applicants for a competitive fellowship founded by Stanford MBA graduates Benje Williams and Kunal Chawla, supported by Stanford University, UNDP, and PepsiCo
• Professional Development: Completed 150+ hours of intensive training in communication, leadership, career readiness, and entrepreneurial thinking
• Skill Development: Gained practical skills through mock interviews, group presentations, networking, and scenario-based projects
• Collaborative Learning: Collaborated with a diverse cohort of fellows from across Pakistan in an immersive and interactive learning environment
• Community Impact: Led a final capstone social work project in the slums of Karachi in partnership with the Imtiaz Naqvi Foundation: conducted educational sessions and fun activities for underprivileged children, distributing stationery (coloring books, notebooks), and snacks to engage and support their learning experience.