I’m a senior AI & Machine Learning Engineer with over 10 years of experience building intelligent, scalable systems across multiple industries. I specialize in Artificial Intelligence, Machine Learning, Data Science, and Full-Stack Development, allowing me to take projects from raw data all the way to production-ready applications.
My core strengths include designing and deploying end-to-end ML pipelines, developing deep learning models, working with large-scale datasets, and integrating AI into real-world products. I have strong expertise in Python, TensorFlow, PyTorch, data engineering, and modern web technologies, enabling me to bridge the gap between research and production.
I’ve worked across sectors such as real estate analytics, fintech, e-commerce, and SaaS platforms, delivering solutions like predictive modeling, recommendation systems, NLP applications, and data-driven dashboards. What differentiates me from other developers is my ability to combine deep technical knowledge with business understanding, ensuring that every solution delivers measurable impact.
I focus on writing clean, scalable code and building systems that are not only accurate but also maintainable and production-ready.
Employment and project experience
AI / Machine Learning Developer - ThinkCol Limited.
January 2016 - March 2019
AI Engineer - OneSky.
March 2019 - March 2022
Senior Data Scientist (Remote) - Cohere.
April 2022 - December 2025
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- Processed TB-scale datasets using Pandas, PySpark, and Dask
- Built automated ETL pipelines with validation and anomaly detection
- Implemented data quality checks and schema validation
- Optimized memory usage and processing time by >40%
Engineered a robust data pipeline for handling large-scale datasets.
- Implemented sentence embeddings using BERT / SentenceTransformers
- Designed vector search pipeline using FAISS / Pinecone
- Developed Retrieval-Augmented Generation (RAG) pipelines
- Optimized search latency with approximate nearest neighbor (ANN) indexing
- Deployed scalable API for real-time query processing
Built a semantic search system using embeddings and transformer models.
- Built advanced regression models (XGBoost, LightGBM, Deep Neural Networks) to predict housing prices with high accuracy
- Performed extensive feature engineering including location encoding, geospatial clustering, and time-series trend extraction
- Designed scalable data pipelines for preprocessing large datasets (millions of records)
- Deployed models using FastAPI and Docker with real-time inference APIs
- Integrated frontend dashboard for visualization using React
Developed a production-ready machine learning system for real estate price prediction using structured and geospatial data.
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