AI & Machine Learning
Python (Pandas, NumPy, Matplotlib)
Machine Learning
Prompt Engineering
Whisper & VOSK
LLM Fundamentals
Agentic AI Workflows
Exploratory Data Analysis (EDA)
Streamlit
Quality Engineering & Automation
Manual Testing
Database Testing
DWH/ETL Validation
Web Service Testing
Selenium Java
Tosca
Katalon
Soap UI
Postman
REST API
Waterfall & Agile
Regression Validation
Databases, Tools & Infrastructure
PostgreSQL / SQL
Unix / Linux
JIRA / HP ALM
Power BI
Job Run Management
Backend Data Verification
Telecom BSS/OSS Mediation
Siebel CRM
Payment Gateway Validation
Machine Learning & AI
- Experience with ML techniques for structured data analysis and decision-support.
- Applied feature engineering, data preprocessing, and EDA to optimize models.
- Optimized accuracy using data cleaning, feature selection, and hyperparameter tuning.
- Hands-on with performance metrics: Accuracy, Precision, Recall, F1 and Confusion Matrix.
AI Model & Language Processing
- Worked with Whisper and VOSK for high-accuracy audio-to-text conversion.
- Applied advanced prompt engineering to control AI output structure and stability.
- Deep understanding of Large Language Model (LLM) fundamentals and agentic workflows.
Databases & Data Engineering
- Extensive work with PostgreSQL and SQL for large-scale relational data storage.
- Validated complex ETL processes and high-volume data pipelines.
- Conducted backend data verification to ensure zero-loss integrity in mediation systems.
Quality & Reliability Engineering
- Performed end-to-end workflow validation across AI and enterprise backend components.
- Verified AI outputs for real-world accuracy and production reliability.
- Expertise in Integration, System, and Regression validation for high-compliance systems.
Programming & Frontend
- Python for ML, AI integration, backend architecture, and workflow automation.
- UI development using HTML, CSS, and JS for dashboard-driven applications.
- Implemented frontend–backend integration for seamless, role-based visibility.
Deployment & Visualization
- Deployed machine learning models using Streamlit for interactive user experiences.
- Enabled real-time inference for high-impact, interactive AI applications.
- Developed data-driven applications tailored for end-user visibility and impact.