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DB Guru

 

Working as Technical Lead in Machine Learning domain, developed Deep Learning models for Supervised Learning and Unsupervised Learning. Used various Deep learning algorithms for Regression, Classification projects with Python,Keras and Tensorflow 2.0.  Developed, Trained and evaluated the models with on premise and cloud (AWS).  Worked on NLP libraries Hugging Face with BERT models for Text Classification,Question Answering and Summary Extraction Projects. Having in depth knowledge on various BERT models like ALBERT, RoBERTa, ELECTRA, DistlBERT and TinyBERT. Fine tuning Domain Specific language model from generic language model using transfer learning.

  • Role

    Tech Lead

  • Years of Experience

    16 years

Skillsets

  • Deep Learning
  • WebLogic
  • Vector DB
  • Statistical analysis
  • Scikit learn
  • Regression
  • ONNX
  • OCI
  • Machine Learning
  • LangGraph
  • LangChain
  • JavaScript
  • Java
  • Generative AI
  • AWS
  • Data Visualization
  • Data Science
  • Data preprocessing
  • Classification
  • Keras
  • pandas
  • Oracle
  • NumPy
  • TensorFlow
  • Python
  • Python
  • Data Mining

Professional Summary

16Years
  • May, 2017 - Present8 yr 7 months

    Tech Lead

    I-Exceed
  • Nov, 2014 - May, 20172 yr 6 months

    Senior Developer

    Misys Software Solutions
  • Jun, 2010 - Nov, 20144 yr 5 months

    Developer

    Polaris
  • Jul, 2007 - May, 20102 yr 10 months

    Jr Developer

    OrbiTech

Applications & Tools Known

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    Oracle

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    Python

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    AWS (Amazon Web Services)

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    pandas

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    Tensorflow

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    Keras

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    Kubernetes

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    kuberflow

Work History

16Years

Tech Lead

I-Exceed
May, 2017 - Present8 yr 7 months
    Technical Lead in AI domain. Developed Generative AI applications using LLMs like OpenAI, Lama, Gork, and Cohere. Built Agentic AI applications with Multi-Model, Multi-Agent architectures, RAG, Vector Databases, and operational orchestration. Deployed AI apps on Oracle Cloud, configured OCI services for GenAI, Agentic AI, and storage. Created MCP Servers and tools for on-premises orchestration. Fine-tuned base models with organizational data for in-house projects. Proficient in Oracle Vector DB, Select AI, LangChain, LangGraph, and Google ADK. Developed and deployed machine learning and deep learning models for supervised and unsupervised learning. Built machine learning pipelines for data ingestion, validation, preprocessing, model training, analysis, validation, and deployment. Experience in financial/banking product development and implementation.

Senior Developer

Misys Software Solutions
Nov, 2014 - May, 20172 yr 6 months
    Senior Developer involved in software development for banking and financial products. Worked on various projects related to loan systems, credit risk analysis, and default management. Applied machine learning and deep learning techniques for regression and classification projects. Used Python, Keras, Tensorflow, and Oracle Cloud services.

Developer

Polaris
Jun, 2010 - Nov, 20144 yr 5 months
    Developer for banking and financial solutions. Worked on retail loan systems, payment schedule generation, and multi-currency/multi-branch support. Involved in system parameterization and loan lifecycle management.

Jr Developer

OrbiTech
Jul, 2007 - May, 20102 yr 10 months
    Jr Developer working on web applications for banking clients. Developed and implemented default management systems using Java, Javascript, weblogic, and Oracle DB. Consolidated and tracked data from various loan systems.

Major Projects

4Projects

Autonomous Customer Service System

    Gen AI based system to service customer queries with minimal human intervention. Utilizes structured and unstructured data, RAG with ONNX, Oracle 23ai Vector DB, HNSW in-memory index, and Agentic AI for workflow orchestration. Integrates Oracle Realtime speech service for voice interaction.

Customer Behavior and Credit Risk Analysis

    Machine learning project to predict credit risk for banking loans. Built data pipelines for ingestion, validation, preprocessing, model training, and prediction. Applied ML methods like Linear Regression, Decision Tree, Random Forest, SVM, AdaBoost, and deep learning.

Retail Loan System

    System covering the lifecycle of loans for retail and corporate customers. Supports parameterization of loan products, interest calculations, payment schedules, and multi-lingual/multi-currency features.

Default Management System

    Web application for National Bank of Abudabi to track and manage loan defaults. Developed using Java, Javascript, weblogic, and Oracle DB. Consolidates data from various loan systems for collection tracking.

Education

  • B. Sc Computer Science

    Bharathidhasan University (2007)

Interests

  • Exploring
  • Exploring Places
  • Games