Experience

Hands-on work across data engineering, analytics, and cloud.

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Innova Solutions

Data Analyst
Nov 2025 — Present
  • Analyzed 7 discrete telecom use cases to define complex business logic and data requirements, effectively simplifying the technical abstraction for implementation within a LangGraph-based AI agentic framework.
  • Performed comprehensive API discovery and data modeling by mapping endpoint dependencies and functional logic into structured inventories, centralizing requirements for retail and indirect store applications.
  • Conducted structural validation and schema analysis of telecom APIs using Postman, ensuring payload integrity and field-level data compatibility across multiple staging and production environments.
  • Engineered standardized data contracts and response transformation rules to bridge legacy system architectures with modern automated workflows, ensuring robust data consumption for store-facing interfaces.
Python LangGraph Postman API Analysis Data Modeling Telecom Retail Ops Systems Integration
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HG Insights

AI Intern
Sep 2025 — Nov 2025
  • Built a production-ready AI agent using Python, LangGraph, and AWS Bedrock for automated contract extraction and business intelligence.
  • Architected a scalable microservices system leveraging PostgreSQL for reliable data management and high availability.
  • Developed an LLM-powered web scraping pipeline with smart content filtering and Google Search API integration, reducing processing time by 60%.
  • Deployed a cloud-native AWS infrastructure with CI/CD automation, monitoring, and fault-tolerant performance optimization.
Python LangGraph AWS Bedrock PostgreSQL LLM Web Scraping CI/CD Microservices
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George Mason University

Student Teacher & Research Assistant — Computational Data Science
Aug 2024 — Present
  • Assisted 100+ students building end-to-end cloud analytics workflows—from ingestion to scalable storage and distributed processing.
  • Engineered data transformation pipelines with PySpark in Zeppelin, accelerating insights on unstructured datasets.
  • Orchestrated MapReduce jobs on distributed VMs for parallel big-data analysis.
  • Managed scalable cloud storage with AWS S3 + CLI, integrating virtualization and cloud networking for robust analytics infrastructure.
PySpark Zeppelin MapReduce AWS Cloudlab Cloud Computing
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ACS Solutions

IoT Intern
May 2022 — Jul 2022
  • Built an IoT-enabled pollution detection framework on ThingSpeak Cloud supporting real-time analytics and visualization.
  • Streamlined ingestion from Wi-Fi connected sensors to produce time-series datasets with multiple environmental parameters.
  • Performed statistical & trend analysis in MATLAB, revealing a ~15% rise in particulate matter levels.
  • Delivered a cloud-based monitoring system that aligns IoT data capture with analytics for real-time environmental intelligence.
IoT ThingSpeak Real Time Analytics MATLAB Time-series