[ Hyderabad, India · Available for hire ]
From test case to AI pipeline, I ship both. I graduated not knowing which lane to pick, so I learned all three. I break things on purpose, build systems that think, and ship code that holds
SDET
Playwright, Pytest, POM, CI/CD
Gen AI
LangChain, Bedrock, RAG, LLMs
Cloud
AWS Bedrock, S3, Lambda, EC2
02 - Skills
Languages
Python JavaScript SQL
Test Automation
Playwright Pytest Page Object Model REST API Validation GitHub Actions CI/CD
QA Practices
Functional Testing Regression Testing Exploratory Testing Root Cause Analysis Defect Documentation
AWS Cloud
Bedrock S3 Lambda EC2 CloudWatch IAM
Gen AI & LLMs
LangChain LangGraph Streamlit Prompt Engineering RAG Pipelines
AI Tools
Claude (Anthropic) GitHub Copilot Amazon Bedrock
AI / ML
Generative AI NLP Scikit-learn YOLOv5 Computer Vision
Tools
Git GitHub Docker Jupyter Notebook VS Code
Databases
MySQL
03 — EXPERIENCE
QA Automation Engineer
Blue Button (Home Automation Company)
04 — BUILDS
E2E Automation
Playwright OpenCart Framework
90%+
Code coverage across 15+ workflows
Production-grade Playwright + Python automation framework with Page Object Model covering cart, checkout, auth, search & wishlist. Caught 3 browser-specific rendering defects. Zero flaky failures after resilient locator refactor.
60+
Test cases — functional, regression, BVA
Gen AI · LegalTech
IntakeIQ
5
Pipeline stages — Parse → Classify → Extract → Route → Alert
Intelligent document intake pipeline for law firms and claims departments. Classifies inbound docs (Insurance Claims, Court Filings, Subpoenas, etc.), extracts type-specific fields, and generates DMS-style routing paths — automating what legal teams do manually.
9+
Document types supported — zero-shot LLM classification
Gen AI · QA
SmartHire — SmartHire AI
30+
Structured QA test cases authored
ReAct-pattern agentic screener built with LangGraph + Groq. Validates LLM output determinism, scoring schema compliance, and idempotent DB writes. Fixed critical scoring regression via LangGraph state guards.
15s
Candidate scoring turnaround
AWS · AI Pipeline
Call Center Summarization AI
40%
Reduction in manual review workload
End-to-end audio transcription and AI summarization pipeline on AWS. Stage-by-stage functional test checkpoints across S3 integrity, transcription fidelity, AI output schema, and CloudWatch logs. Triaged 12+ defects.
78→95%
Pipeline accuracy after defect fixes
Computer Vision
Face Mask Detection — YOLOv5
682
Training images — 3 classes
Real-time CV system classifying With_Mask, Without_Mask & Incorrect_Mask from live video. Compared YOLOv5s vs YOLOv5x — YOLOv5s faster at similar mAP. Custom-labeled dataset using LabelImg. Trained on Google Colab.
300
Optimal epochs (best mAP)
Machine Learning
Crop Recommendation System
92%
Prediction accuracy
ML-based crop prediction using Random Forest. Processed 5,000+ records with Python and SQL. Feature engineering across soil type, rainfall, temperature & humidity. Deployed with Flask REST API and HTML/CSS interface.
5K+
Records processed
05 — CREDENTIALS
Generative AI for Software Development In Progress
DeepLearning.AI
—
AWS Certified Cloud Practitioner
Amazon Web Services
2024
Prompt Engineering for Developers
DeepLearning.AI
2024
Troubleshooting and Debugging Techniques
2025
AI Foundations Associate
Oracle (OCI)
2025
06 — GET IN TOUCH
Open to SDET, and QA Engineer (Manual and Automation Testing) , roles. I build automation frameworks that don't flake, AI pipelines that ship, and infrastructure that scales. If your team needs this, that's literally me.