Faisal Javed

Senior AI Engineer (Team Lead) at Schechter

Architected and productionized LLM-powered systems (GPT-4/ChatGPT) for recruitment automation, retail personalization, and social media analytics serving 18M+ users. Designed end-to-end ML pipelines for data ingestion/validation, inference, deployment, and production monitoring using Python, FastAPI, and Django. Containerized workloads with Docker and deployed on AWS EC2 with MLflow for experiment tracking and model versioning. Implemented CI/CD via GitHub Actions and established observability using AWS CloudWatch and Grafana. Managed relational, NoSQL, and vector databases including PostgreSQL, MySQL, FAISS, and Pinecone to support retrieval, inference, and recommendation workflows.

Senior AI Engineer (Team Lead) at Schechter Jan

Architected and productionized LLM-powered systems (GPT-4, ChatGPT) for recruitment automation, retail personalization, and social media analytics for 18M+ user domains. Designed and maintained end-to-end ML pipelines covering data ingestion, validation, model inference, deployment, and production monitoring using Python, FastAPI, and Django. Containerized ML workloads using Docker for consistent deployments. Deployed and operated ML services on AWS EC2 with MLflow for experiment tracking and model versioning; implemented CI/CD pipelines via GitHub Actions for automated testing and controlled rollouts. Established observability using AWS CloudWatch and Grafana. Managed relational, NoSQL, and vector databases (PostgreSQL, MySQL, FAISS, Pinecone) to support inference, semantic retrieval, and recommendation workflows.

Senior AI Engineer (Team Lead) / Consultant at Innovadel Technologies Limited

Architected and productionized LLM-powered systems for recruitment automation, retail personalization, and social media analytics; supported 18M+ user domains. Designed and maintained end-to-end ML pipelines using Python, FastAPI, and Django. Containerized ML workloads with Docker for reproducible deployments. Deployed ML services on AWS EC2 with MLflow for experiment tracking. Implemented CI/CD with GitHub Actions and established observability with CloudWatch and Grafana. Managed relational, NoSQL, and vector databases (PostgreSQL, MySQL, FAISS, Pinecone) to support inference, retrieval, and recommendations. Collaborated with cross-functional teams to accelerate delivery from experimentation to production.

Data Scientist – Team Lead at Proactive Technology

Led a team of 18 data scientists delivering ML solutions for advertisement recommendation engines, social media analytics, and energy forecasting products. Designed and productionized ML models using Python and scikit-learn, including custom pipelines for predictive analytics and recommendation systems. Deployed ML services within a microservices-based architecture on AWS to improve scalability and independent deployments. Managed and optimized data platforms including PostgreSQL, MySQL, DynamoDB, and Redis for caching and high-throughput performance. Delivered projects in Agile/Scrum environments using Jira, Confluence, and Bitbucket.

Data Scientist – Team Lead at BlueOrbit Solutions

Led a team of 18 data scientists delivering ML solutions for advertisement recommendations, social media analytics, and energy forecasting. Designed and productionized ML models with Python and Scikit-learn, including custom pipelines. Managed data lifecycle (ingestion, transformation, feature engineering, training) and deployed services within a microservices architecture on AWS. Optimized data platforms (PostgreSQL, MySQL, DynamoDB, Redis) for caching and throughput. Enforced performance and reliability through code reviews and health checks; delivered projects in Agile/Scrum using Jira, Confluence, and Bitbucket.

Senior Software Engineer – Data Science & ML at Proactive Technology

Delivered end-to-end ML and data science solutions for telecom and e-commerce clients focusing on predictive modeling and behavioral analytics. Performed exploratory data analysis, feature engineering, and model development for churn prediction and product recommendation. Mentored junior data scientists and contributed to internal best practices for model deployment and documentation.

Software Engineer – Data Science & ML at Lightning Kite

Built ML models and analytical pipelines for sports analytics (NBA) and automotive industry clients. Performed data collection, cleaning, transformation, and exploratory analysis to support predictive model development.

Senior Software Engineer – Data Science & ML at BlueOrbit Solutions

Delivered end-to-end ML and data science solutions for telecom and e-commerce clients, focusing on predictive modeling and behavioral analytics. Performed EDA, feature engineering, and model development for churn prediction and product recommendations. Mentored junior data scientists and contributed to internal best practices for deployment and documentation.

Software Engineer – Data Science & ML at Blue Orbit Solutions

Built ML models and analytical pipelines for sports analytics and automotive clients. Performed data collection, cleaning, transformation, and exploratory analysis to support predictive modeling.

Software Engineer – Natural Language Processing at Lightning Kite

Developed NLP pipelines using Python, NLTK, SpaCy, and scikit-learn for text classification, named entity recognition, and sentiment analysis. Deployed NLP microservices and managed MySQL / MS SQL Server databases for ML-driven applications.

Software Engineer – Natural Language Processing at Tecshield

Developed NLP pipelines using NLTK, SpaCy, and Scikit-learn for text classification, NER, and sentiment analysis. Built data ingestion and preprocessing workflows with web scraping. Deployed NLP services in a microservices architecture and managed MySQL and MS SQL Server databases for ML-driven applications.