Experience - Sasank

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

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

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