Senior Ai/Ml Technical Lead
AI Technical LeadI am working on architecting, designing, and implementing top-of-the-line software solutions tailored to the businesses requirements. As a tech lead in IT tech-companies, I led teams in creating innovative AI- driven software across the healthcare, finance and automotive sectors, implementing AI systems to boost efficiency.- Working together with stakeholders to achieve their needs and requirements. - Developing and maintaining various architectural standards, best practices, and methodologies. - Evaluating and selecting appropriate technologies and platforms for the solutionSenior AI/ML EngineerDeveloping Folderr-AI Simplified that redefines how businesses interact with data by simplifying document management and information accessibility across the healthcare, marketing and finance. Folderr's customer-centric approach establishes it as a trusted and secure partner for businesses of all sizes looking to implement AI. Adept at swiftly managing and resolving bug tickets and other software issues to ensure seamless product performance.Solved challenges in developing ML systems with advanced tech and implemented MLOps/DevOps best practices. Especially, implemented advanced chunking strategy, FEA architecture in Graph RAG and Router system that can choose the system between semantic search, Graph RAG, Text-to speech and Elastic search. Developed multi-AI agents with Langchain, Llama-index such as developing Multimodal LLM, computer vision tasks, and Fine-tuning LLM using Tensorflow, python, and scikit-learn and Python backend framework.- Designed and implemented a modular Python package that orchestrates the ML steps into 3 fully automated batch pipelines: feature, training, and inference.- Implemented MLOps best practices such as Iac, CI/CD, monitoring, experiment tracking, and model registries, making the system reproducible, testable and trackable.- Deployed a scalable & cost-effective async batch architecture on top of GCP, AWS ECS.