Vinayak Lal

Architected and ran real time data pipelines and GPT powered services using Python, Airflow, Kafka and PostgreSQL to deliver robust intelligent data products, building high throughput batch and streaming flows with SLA based scheduling, low latency Kafka ingestion and fan out, optimized SQL schemas and queries, end to end monitoring, and GPT based NLP for text generation and decision support.

Built end to end predictive analytics and computer vision solutions, from stock market forecasting models to image segmentation and color detection pipelines, to power smarter investment decisions, richer visual insights and highly personalized customer experiences.

Engineered end to end AI solutions, deploying chatbots for seamless support and lead qualification, improving recommendation accuracy for more relevant suggestions, and embedding anomaly detection to protect data integrity and ensure reliable, trustworthy decision making.

Specialisation in Computer Vision, LLMs and Agentic AI

Through my studies I built solid OOP expertise, mastering encapsulation, inheritance and polymorphism to design modular software, and the full data science workflow from statistics, wrangling and exploratory analysis to model selection, evaluation and advanced ML, DL and RL, deploying models into IoT and edge systems that learn continuously from real time sensor data for adaptive, anomaly aware applications.