Strategic and results-oriented Lead AI/ML Engineer with over 11 years of cross-domain experience in automation engineering, DevOps, and machine learning. Proven track record of developing and deploying intelligent automation solutions using Python, Functionize, and ML frameworks. Specialized in implementing AI-
driven systems using Python, LLMs, and Generative AI to enhance user experience. Strong background in fine-tuning, optimizing, and evaluating ML algorithms. Passionate about using data and AI to solve real-world problems and deliver business value.
Actively seeking senior/staff/architect roles in AI/ML, open to global roles with relocation or visa sponsorship (US, UK, EU, UAE).
Overview
11
11
years of professional experience
3
3
Certifications
Work History
Technical Lead
Sutherland Global Services Pvt Ltd
Bangalore
05.2019 - Current
Led cross-functional teams in designing and implementing scalable automated test frameworks for web and API applications.
Delivered 60% effort savings in regression testing through intelligent Functionize orchestration.
Have developed easily maintainable, future-proof Test scripts that ensure robust validations across multiple environments.
Championed reusability across 1400+ test cases spanning QA, UAT, and PROD environments.
Conducted applied ML research: classification, clustering, PCA, time series, and model tuning using TensorFlow, and Scikit-Learn.
Designed data acquisition and visualization pipelines using Python, Pandas, Seaborn, and PowerBI.
Applied ML algorithms: Linear/Logistic Regression, SVM, K-Means, XGBoost, and PCA.
Developed deep learning models (CNNs, RNNs, LSTMs) using TensorFlow and PyTorch for image and text classification.
Fine-tuned transformer-based models (BERT, GPT) for domain-specific NLP tasks like summarization, Q&A.
Integrated LLMs with LangChain, ChromaDB, and OpenAI APIs to build intelligent chatbots and GenAI solutions.
Conducted performance evaluation using precision/recall, F1 score, ROC-AUC, and cross-validation.
Deployed ML models using MLflow pipelines and optimized hyperparameters using GridSearchCV.
Managed MLOps lifecycle with Airflow/MLflow and Weights & Biases for experiment tracking.
Automated infrastructure setup, deployment pipelines, and monitoring solutions using AWS and DevOps tools.
Managed MLOps lifecycle with Airflow/MLflow and Weights & Biases for experiment tracking.
Automated infrastructure setup, deployment pipelines, and monitoring solutions using AWS and DevOps tools.
Contributed to hybrid ML-dev pipelines integrating Jenkins and containerized Python-based ML apps.
Senior DevOps Engineer
US Tech Solutions Pvt Ltd
Bangalore
11.2018 - 05.2019
DevOps Engineer
Enstage Software Pvt Ltd (WIBMO)
Bangalore
05.2018 - 09.2018
Build and Release Engineer
Livecode Technologies Pvt Ltd
Bangalore
03.2014 - 04.2018
Education
Bachelor of Technology - Computer Science and Engineering
JNTUA
Andhra Pradesh
12.2010
Skills
Data Structures and Algorithms Python and Libraries