PROFESSIONAL SUMMARY
- Distinguished software professional with over 15 years of IT experience, specializing in Natural Language Processing (NLP), Generative AI (LLMs), and advanced fine-tuning methodologies to deliver state-of-the-art AI solutions.
- Certified Machine Learning Specialist across leading cloud platforms (GCP, AWS, Azure, IBM), with expertise in building scalable, production-grade systems using TensorFlow, PyTorch, and other deep learning frameworks.
- Proven expertise delivering innovative AI/ML solutions for risk management and regulatory compliance in Finance, Banking, Insurance, Retail, and Investment, driving operational efficiency and compliance optimization.
- Experienced MLOps expert designing automated end-to-end ML pipelines using MLflow, Docker, GitHub Actions, and cloud-native services, with expertise in model training, tuning, deployment, monitoring, and explainability.
- Results-driven technical leader with exceptional communication skills, fostering cross-functional collaboration, and driving innovation through problem-solving and data-driven decision-making to deliver high-impact solutions.
SKILLS
- Programming Languages: Python, Java, SQL
- Tools & Frameworks: Scikit-learn, Keras, TensorFlow, PyTorch, REST API, MLflow, DVC, Airflow, Hugging Face, Git, GitHub.
- Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Plotly, IBM Cognos
- Databases: Oracle, DB2, MySQL, PostgreSQL, MongoDB, NoSQL & Vector Databases
- AI/ML Expertise: Statistics, Regression, Classification, Clustering, Dimensionality Reduction, PCA, NLP, NLTK, spaCy, RNN, LSTM, GRU, Transformers, BERT, Generative AI, Large Language Models (LLMs), PEFT, LoRA, RAG, AI Agents.
- Cloud Platforms: IBM (Watson Studio, Assistant, Discovery), AWS (EC2, S3, SageMaker, Lambda), Azure (ML, Databricks)
- MLOps, CI/CD & Web Frameworks: Docker, Jenkins, Kubernetes, GitHub Actions, Flask, FastAPI, Streamlit, Gradio
AWARDS
CERTIFICATIONS
- GCP Certified Professional Machine Learning Engineer
- GCP Certified Professional Data Engineer
- AWS Certified Machine Learning Specialty
- Microsoft Certified: Azure Data Scientist Associate
- IBM Certified Data Scientist – Machine Learning Specialist
WORK EXPERIENCE
IBM INDIA PRIVATE LIMITEDHyderabad, TG, India
Delivery Consultant (AI/ML/GenAI)Sep’21 – Present
- Engineered innovative AI/ML/GenAI and RAG solutions with IBM Watsonx, building conversational assistants that improved customer experience, increased adoption by 30%, and reduced costs by 25% in financial services.
- Fine-tuned BERT models and LLMs for advanced text classification and RAG-based knowledge retrieval, elevating domain-specific accuracy by 35% and overall model performance by 20%, driving superior business insights.
- Implemented scalable ML pipelines using MLflow and Docker, streamlining data preprocessing, model training, and hyperparameter tuning, resulting in a 50% reduction in deployment time and improved system reliability.
- Established robust AI governance practices with IBM watsonx.governance, ensuring responsible, transparent, and compliant AI, while mentoring teams and driving 20% client acquisition growth and 15% productivity gains.
SURESTEPMarkham, ON, Canada
Senior Solutions ArchitectMay’20 – Sep’21
- Led the end-to-end implementation of OpenPages GRC platform for a major financial institution, streamlining risk management processes and reducing compliance reporting time by 35%, resulting in annual savings of over $500K.
- Configured OpenPages workflows to integrate with existing systems, enhancing real-time risk monitoring and boosting operational efficiency by 40% across multiple departments, significantly improving decision-making speed.
IBM INDIA PRIVATE LIMITEDHyderabad, TG, India
Solutions ArchitectApr’12 – Apr’20
IBM CORPORATIONLittleton, MA, USA
Lead Consulting EngineerApr’10 – Apr’12
HALLER, HARLAN & TAYLORPlano, TX, USA
Software ProgrammerSep’09 – Apr’10
ACCOLITERichardson, TX, USA
Java DeveloperMar’09 – Sep’09
PROJECTS
COMPLIANCE ASSISTANT
- Architected an AI-driven document repository leveraging Watson Discovery and Watsonx.ai, automating acquisition and classification of global regulatory data, leading to a 30% decrease in manual compliance data processing.
- Developed an enterprise-grade conversational AI assistant using Watsonx Assistant and LLMs, enabling real-time conversational search, which accelerated compliance interpretation and enhanced user response time by 40%.
- Fine-tuned LLMs (LLaMA, Granite) using Tuning Studio and Parameter-Efficient Fine-Tuning (PEFT) with LoRA, enabling domain-specific regulatory classification, boosting accuracy by 35%, and automating compliance workflows.
- Led the creation of an interactive compliance dashboard using IBM OpenPages and Cognos, providing actionable real-time regulatory insights that streamlined compliance monitoring and decision-making efficiency by 30%.
AI GOVERNANCE
- Engineered a robust MLOps pipeline automating the onboarding of traditional ML models from Azure and GCP into IBM Watsonx AI Governance, enabling unified, cross-cloud model lifecycle management and regulatory compliance.
- Integrated AI Factsheets with Azure DevOps, MLflow, and Databricks for automated CI/CD, experiment tracking, and reproducible pipelines, deploying OpenScale for real-time monitoring, explainability, fairness and bias mitigation.
- Accelerated model governance processes by 25% through advanced automation, enhancing transparency, traceability, and accountable AI practices, ensuring alignment with enterprise-wide ethical and regulatory standards.
OPENPAGES INTELLIBOT
- Designed an enterprise-grade AI chatbot by integrating Watson Assistant with Watsonx Generative AI, utilizing LLMs (Granite, LLaMA, Mistral) to deliver domain-specific, context-aware responses for OpenPages business users.
- Implemented a robust RAG pipeline leveraging LangChain, Hugging Face, Milvus vector database, and OpenScale for automated evaluation across Answer Relevancy, Context Relevancy, Answer Similarity, and Faithfulness metrics.
- Optimized information retrieval accuracy with advanced retrievers and rerankers, achieving a 30% boost in user satisfaction and reducing support tickets by 25% through intelligent, real-time business query resolution.
PII DETECTOR
- Devised a scalable PII detection pipeline with transformer-based BERT models and advanced token classification, enabling granular extraction of sensitive entities from unstructured text across diverse enterprise domains.
- Enhanced detection precision through hyperparameter optimization and stratified k-fold cross-validation, using PyTorch and Hugging Face Transformers on large annotated datasets for robust model performance.
- Integrated the PII solution as Dockerized REST microservices on AWS ECS, automating deployment with CI/CD and ensuring strict adherence to GDPR, HIPAA, and SOC 2 privacy compliance standards.
OPERATIONAL RISK LOSS ESTIMATOR
- Developed an operational risk loss estimator leveraging advanced NLP and supervised learning algorithms,enhancing incident-driven financial loss predictions and increasing estimation accuracy by 20% for banking sector.
- Formulated a scalable ETL pipeline using Amazon S3 for storage, AWS Lambda for serverless data processing, and DVC for end-to-end data versioning, ensuring reproducibility and auditability of risk modeling workflows.
- Optimized ensemble models (XGBoost, LightGBM) and leveraged MLflow for experiment tracking, model versioning, and artifact management, enhancing performance, reproducibility, and interpretability in operational risk analytics.
EDUCATION
THE UNIVERSITY OF TEXAS AT AUSTINTX, USA
Post Graduate Program in Artificial Intelligence & Machine Learning2022 – 2023
THE UNIVERSITY OF TEXAS AT DALLASTX, USA
Master of Science in Computer Engineering2006 – 2008
VASAVI COLLEGE OF ENGINEERINGTG, India
Bachelor of Engineering in Electrical & Electronics Engineering2002 – 2006