Dec 2023 – Jan 2026 · 2 yrs 1 mo

• Engineered a healthcare AI assistant system using Langgraph to automate patient-agent interactions. Designed an
• intelligent workflow including session management, language detection, intent classification (doctor info, hospital info,
• health packages), hospital name validation, proximity-based hospital recommendations, and query enhancement. This
• project showcased end-to-end ML model deployment in production, supporting real-time intent detection and
• resolution assistance for healthcare requests.
• · Developed and deployed an enterprise RAG system integrating multi-modal data (PDFs, DOCX, videos) into
• WatsonX Discovery with fine-grained access control — directly supporting agent workflows in knowledge retrieval
• and ticket resolution.
• · Engineered an AI-powered video search platform with intelligent categorization, summarization, and retrieval,
• reducing time to access support content for both agents and end users.
• · Designed scalable AI architectures in IBM cloud environments ensuring performance, high availability, and
• production-ready deployments of ML systems.
• · Led AI governance initiatives by developing a reusable library for LLM/AI governance, onboarding junior
• developers, and driving best practices in secure, ethical AI use.
• · Applied synthetic data generation (IBM InstructLab) for model fine-tuning and evaluation, optimizing ML models
• using accuracy, latency, and business impact metrics.
• · Recognized by clients and leadership for delivering high-impact, business-ready AI solutions with a balance of
• speed and quality — embodying the 80/20 principle for faster agent support innovations.

Sep 2021 – Dec 2023 · 2 yrs 3 mos · Bengaluru, Karnataka, India

• I was building human data science products to improve healthcare accessibility and affordability.
• This involved designing AI solutions, collaborating with stakeholders, and developing algorithms using state-of-the-art techniques like transformers.
• I am skilled in microservice development and integration, and have successfully implemented message queues and microservices.
• Additionally, I excel in requirement grooming, design, solutioning, and product implementation.
• I am proficient in data format design, data fetching and processing, model training and validation, and deploying models in production.
• I achieved an 86% accuracy rate with an NLP model using unsupervised learning techniques, and have improved model performance through GPU training and inference.
• I had also built reusable components based on research papers, and managed more than five microservices
• I was also leading and guiding junior developers

May 2021 – Sep 2021 · 4 mos

May 2020 – May 2021 · 1 yr · India

• I was responsible for
• Design and implementation of Artificial Intelligence enabled products.
• Research on new product Enhancement features.
• Research and Development in NLP, NLU, and conversational AI.
• Microservice architecture Implementation in python

Nov 2017 – May 2020 · 2 yrs 6 mos

• Designed, implemented, and deployed end to end machine learning requirements.
• I was responsible for solution design, implementation, and deployment for machine learning module called (intelligent importer) with end to end Ml pipeline(data query, preprocessing, ML algorithm/model, training, testing, deployment to AWS, auto-retraining).
• Developed rest APIs in python to integrate with the CPQ pricing engine built-in salesforce.
• Developed deep learning model for text classification (LSTM, GRU, etc)
• Handled integration of ML solution to exiting product, secure transactions via REST-API

Aug 2016 – Nov 2017 · 1 yr 3 mos

• Facilitated continuous discussions on project requirements and changes with the onshore team in Australia.
• Implemented programmatic development for invoice reconciliation.
• Proficiently utilized Unix shell scripting to maintain logs and scripts in both development and production servers.
• Developed scripts for diverse joins of Unix files with complex conditions.

May 2015 – May 2016 · 1 yr

• Implementation of web development projects using java, MongoDB, bootstrap and cloud storage
• Training and seminars on big data and cloud technologies