Senior AI/ML Engineer & Database Specialist | Technical Lead | Passionate about Scalable AI Solutions

I’m a highly skilled AI/ML Engineer with 5+ years of experience in designing, deploying, and optimizing machine learning applications. My expertise spans ETL workflows, feature engineering, NLP, predictive analytics, cloud platforms (AWS, GCP), and leveraging Docker, Kubernetes, and MLOps to deliver scalable solutions. I thrive on leading cross-functional teams, solving complex problems, and driving business impact through innovative AI technologies.

Rivon.ai | Bahawalpur, Pakistan | Sep 2024 – Present

• Led a team of 8 engineers across three major AI/ML projects, ensuring timely delivery and adherence to best practices.
• Developed an AI-Driven Startup Advisor using RAG, LangChain, and OpenAI, reducing market research time by 50% and empowering 1.5K+ founders to optimize growth strategies.
• Built an AI-driven interview platform using OpenAI and FastAPI, achieving 96.8% API uptime, integrating STT/TTS pipelines (35% latency reduction), and driving 4.7/5 user satisfaction.
• Designed a dynamic data pipeline orchestration tool with gRPC, boosting data transfer speeds by 40%, and deployed multiple ML models on AWS SageMaker.

Vacon.ai | Lahore, Pakistan | June 2022 – Sep 2024

• Led a team of 3 engineers to develop a scalable SaaS debt-collection platform, increasing revenue by 1200%.
• Streamlined data ingestion and processing by 50% via asynchronous microservices using SQLAlchemy, Celery, and Redis.
• Architected end-to-end ETL pipelines with Prefect, reducing manual intervention by 70%, and integrated validations with usaddress and Twilio for automated data cleaning.
• Automated credit underwriting with AWS Textract, PDFMiner, PyPDF2, delivering AI predictions for 3 large banks in under 2 months.
• Built a Data Processing Pipeline using Apache Spark, replacing a legacy mainframe and improving efficiency by 70%.

Blink Co Technologies Ltd. | Lahore, Pakistan | Dec 2020 – June 2022

• Developed AI/NLP solutions, including a conversational AI assistant with SpaCy, CRF, BERT, served via Flask on AWS EC2.
• Trained and deployed Deep Learning models (DenseNN, LSTM) for text classification using PyTorch on AWS SageMaker.
• Built a Knowledge Extraction pipeline for 100k+ documents using BeautifulSoup, NER, and Topic Modeling (Gensim, TextRazor).
• Designed a Predictive Analytics PoC for oil well failures using MLE, MAP, and EM Algorithm with NumPy, SciPy, Scikit-learn.

• Engineered an XGBoost model to predict cirrhosis outcomes with 93.8% accuracy and 0.17 log loss.

• Built a Random Forest classifier to auto-categorize bank transactions with 90.5% precision and 95.6% ROC-AUC.

• Developed a brand-alignment solution using advanced text normalization, named entity recognition, fuzzy matching, and clustering.

• AI-Driven Survival Prediction for Liver Patients: XGBoost model with 93.8% accuracy and 0.17 log loss.
• AI for Smarter Personal Finance Tracking: Random Forest classifier with 90.5% precision and 95.6% ROC-AUC.
• Certificates:
  • Python for Data Engineering – DataCamp
  • Machine Learning Specialization – Coursera
  • Deep Learning Specialization – Coursera

I’m always open to collaborating on meaningful projects, sharing knowledge, or exploring new opportunities. Feel free to reach out!

📧 Email: [email protected]
📞 Phone: +92-3054661042