Professional Journey
“Engineering is not just about solving problems; it's about creating possibilities and turning innovative ideas into reality that transforms the world.”
Software Engineer
Wipro Limited
May 2022 - November 2023
AI Data Pipeline Architecture: Built and executed a scalable AI data pipeline with Python, LangGraph, and DAGs that processes over 2.6 million records in under 45 minutes, automating analytics workflows and delivering $1.2 million in annual cost savings through reduced manual processing.
LLM Backend Microservices: Engineered sophisticated backend microservices for LLM prompt validation and intelligent routing using Python and AWS Lambda, achieving 36% reduction in debugging time while significantly improving output accuracy across GenAI applications.
React Component Library: Designed and integrated 18+ reusable React components to streamline LLM tool interfaces, reducing UI development time by 33% and establishing consistent design patterns across developer-facing applications.
CI/CD Optimization: Enhanced and maintained robust CI/CD workflows using GitHub Actions and AWS, accelerating deployment velocity while reducing regression-related rollbacks through comprehensive automated test coverage.
Performance Debugging: Diagnosed and resolved critical software defects and performance regressions using Polars and proprietary debugging frameworks, achieving 63% reduction in escalations and preserving a key client relationship worth $1.2M annually.
Data Engineer
Zensar Technologies
October 2021 - April 2022
Fraud Detection Engine: Developed an advanced fraud detection system using PyTorch, NLP techniques, and SQL, deployed on AWS SageMaker. Achieved 67% reduction in false positives, delivering approximately $300,000 in annual savings through improved fraud prevention accuracy.
Multi-Agent Chatbot: Built and fine-tuned an intelligent multi-agent chatbot using GPT-3 and LangChain for internal support automation. Reduced L1 ticket volume by 66% while maintaining consistent system uptime and improving user satisfaction.
Automated Testing Pipelines: Programmed comprehensive regression test pipelines and automated model validation using MLflow and GitHub Actions, increasing test reliability by 53% and establishing robust quality assurance processes.
Performance Analytics: Analyzed performance monitoring dashboards using SQL and PowerBI, identifying optimization opportunities and implementing data-driven solutions to improve system efficiency and user experience.
Key Achievements
Annual Cost Savings
Records Processed
False Positive Reduction