Jul 2025 – Present · 10 mos · Remote

• Non -profit collaboration in personal capacity .
• IEEE SA IC25 - 003™ Evaluation of Multi Agent System

Aug 2023 – Present · 2 yrs 9 mos

• AI Engineering Lead at IBM APAC, driving the design and deployment of Foundation Models, including LLMs and multimodal systems, across Banking, Telecom, and Financial Services. Specializing in scalable LLMOps, ML Powered Search, GenAI optimization, and AI governance — with hands-on leadership in RAG, quantization, and self-reflective agents for safe, high-performance AI delivery.

Jul 2022 – Jul 2023 · 1 yr

Sep 2018 – Jul 2022 · 3 yrs 10 mos

• A Senior Data Scientist in the Data Science Elite Team of Software labs under IBM Analytics Hybrid cloud Team, Singapore:
• Recent Work includes:
• 1. Built a Solution to Explain and explain the ML Model using Watson Openscale and techniques like SHAP, Shapely, LIME ,ELI5 and Partial Dependency Plots.
• 2. Architected a supervised machine learning solution to predict the breach
• detection using unstructured data with an accuracy of 95%.
• 3. Built a Patient Hierarchical Model to predict the ranked list of patients in the
• order of cardiac risk with 94% accuracy.

Mar 2016 – Sep 2018 · 2 yrs 6 mos

• 1. Building machine learning induced Data pipelines
• 2. Scalable Machine learning and development of machine learning algorithms from scratch viz Artificial Neural Networks.
• 3. Distributed Computing and Big Data Analytics with Spark and Python.
• 4. Advanced Neural networks including Recurrent Neural Networks,Convolution Neural Network and Efficient Back-propagation algorithms
• 5. Development of Scalable machine learning algorithms like Artificial Neural Networks from Scratch.
• 6. Development of Industry Standard Interfaces and APIs for Machine learning algorithms.
• 7. Text Mining and Sentiment Analysis at Scale .
• 8. Building Interfaces to Interactive Machine Learning Platforms.
• 9. Natural language Processing with Recurrent Neural Networks and Convolutional Neural Networks.
• 10. Unsupervised Learning with textual corpus using techniques like Topic Modelling.
• 11. SVD and Latent Semantic Analysis for Dimensionality reduction and Search Models.
• 12. Formulation of Model Evaluation using Normalized Discounted Cumulative Gain.

Jun 2015 – Mar 2016 · 9 mos · Bengaluru Area, India

• Lead Machine Learning Engineer .. Some of the work includes:
• 1. Built a Scalable Article Author Disambiguation model in Python using NLP &
• Machine learning to help disambiguate author citation issues.
• 2. Designed and built a Customized Neural Network Library in Python for a
• Banking Client.
• 3. Trained and built time series models to predict the energy demand for a
• Utility Client for next 6 months using Markovian Model.
• 4. Working on Semi-Supervised Machine Learning Models using Scikitlearn & R.
• 5.Building drivers to handle Hadoop file output for compatibility with Unix environment.
• 6.Tweaking Natural language Processing Engines using Watson Analytics and Opensource APIs
• 4.Multiprocessing with Python.
• 8 Evaluating and cross validation of models using Inferential statistics.

Sep 2011 – May 2015 · 3 yrs 8 mos · Bengaluru Area, India · On-site

• Job role highlights included:
• 1. Built and Trained a machine learning model to predict the likelihood of
• sensor failure in consumer boilers.
• 2. Developed software for consumer boilers using state-machines and Python.
• 3.Implemented an image classification model using Convolutional Neural
• Network to detect the different boiler types across 9 categories with an
• accuracy of 81 %.
• 4.Automation and Tool development using Java and Python
• 5. Using CNN for Image Detection of Boilers inside a custom made Bot by Bosch GmbH.
• 6.Text Mining, Web crawling at Scale using Python.
• 7. Performance Enhancement of already developed Tools using multiprocessing and structured and
• efficient algorithms viz. heavy use of generators.
• 8.Extending Python with C at times for performance enhancer.
• 9.Using R for Statistical Modelling and Analysis.
• Environment: Windows 7, Python, Java, Finite State Machines,SQL

Aug 2009 – May 2011 · 1 yr 9 mos · Jamshedpur Area, India

• 1.Built an ARIMA-TimeSeries model to predict the sales of Steel coils over a
• quarter.
• 2. Built a preventive maintenance model using sensor data to predict the
• likelihood of temperature sensors in plant.
• 3. Data Querying using SQL.
• 4. Statistical Data Analysis using Plant Automation data.
• 5. Inferential reporting using Excel and Python

Mar 2009 – Aug 2009 · 5 mos · Ranchi Area, India

• Primary responsibilities included the following:
• 1.Scripting and report generation with Python for legacy tools
• 2.Automation Tools for UI based experience for weighing system.
• 3.Interface of the tool to existing server database.
• 4. Data Analysis on Weighing system performance.