Sep 2022 – Sep 2024 · 2 yrs · Bengaluru, Karnataka, India

• Led a cross-functional team to deliver a cutting-edge Generative AI platform and products in the Data Analytics, Healthcare and ESG domain.
• Fine-tuning LLM with multi LoRA adaptor for domain specific task in Retail, CPG and Supply Chain domain
• Developed distributed cloud GPU training approaches for LLMs models, including data distribution editing, data quality improvements, and representation learning with self-supervision.
• Experience in reading papers and implementing algorithms described in papers to increase performance, quality, data management, and accuracy of AI systems.
• Designed lean proofs of concepts (POC) to answer targeted business questions using Gen.AI.
• Design, Developed and integrated various large-scale, distributed machine learning systems for production ready Gen.AI services.

Dec 2021 – Sep 2022 · 9 mos · Bengaluru, Karnataka, India

• Develop end-to-end ml pipeline in hybrid cloud using kubeflow pipeline (model training), mlflow (experiment tracking and model registry), kserve (model serving), feast feature store and jenkins CICD.
• Developed a key performance index forecasting system using LSTM with 70% accuracy; entailing reduced network downtime with improved log-collection triggering.
• Defined and executed specific ML workflow, which includes data collection, sampling, model building and training, metrics definition and evaluation.
• Develop a framework for experimental tracking using mlflow tracking and integrated its logs with AutoML for hyperparameter tuning.
• Develop model monitoring framework using Evidently AI (data, model, target and custom drift) and raise alerts for decision on model retraining.

Dec 2015 – Dec 2021 · 6 yrs · Bengaluru, Karnataka, India

Jul 2011 – Jul 2015 · 4 yrs · Bangalore, India

Jul 2010 – Jun 2011 · 11 mos · Bangalore

Nov 2007 – Jun 2010 · 2 yrs 7 mos · Bangalore