Hi, I am Jigyasa!

Georgia Institute of Technology · M.S. Computer Science · Incoming Fall 2026

Jigyasa Hasija

I am an incoming M.S. CS student at Georgia Tech with four years of industry software engineering experience specializing in distributed backend infrastructure, cloud reliability, and data compliance networks.

My academic and research interests lie at the intersection of Sustainable Computing Architectures and Secure, Robust AI. I am driven by a central question: how can we architect large-scale or agentic computing pipelines to maximize hardware and energy efficiency while guaranteeing adversarial security and fault tolerance?

I am actively seeking research opportunities within Georgia Tech's computer systems, security, and AI labs.


Research Experience

FPGA Implementation of Residue Number System based Digital Differentiator

Undergraduate Research · Advised by Prof. Tarun Kumar Rawat · Netaji Subhas Institute of Technology

  • The Problem: Traditional binary arithmetic introduces severe computational carry-propagation delays and power overheads when executing high-frequency digital signal processing on resource-constrained or edge devices.
  • The Approach: Evaluated alternative mathematical frameworks by designing and implementing a full-band Digital Differentiator using a three-moduli Residue Number System (RNS). Built the underlying hardware description architectures in Verilog HDL and simulated execution workflows on an Artix-7 FPGA target using the Xilinx Vivado design suite.
  • The Outcome: Demonstrated that custom-tailored RNS modular structures compress arithmetic bottlenecks and decrease total processing time for edge digital systems compared to standard infinite impulse response configurations.

Conference Presentation: “FPGA Implementation of Residue Number System based Digital Differentiator” — peer-reviewed and presented at The International Conference on Signal Processing, VLSI and Communication Engineering (ICSPVCE), Delhi Technological University.


Selected Engineering & Systems Projects

Agentic Workflow Frameworks via Model Context Protocol (MCP)

Software Development Engineer · Veeam

Focus: LLM Tool Use · Protocol Optimization · Resilient System Automation

  • Architected proof-of-concepts exploring the integration of Anthropic's Model Context Protocol (MCP) with TypeScript-based browser automation engines.
  • Evaluated the reliability and failure boundaries of frontier models (Claude) in autonomously orchestrating and generating complex end-to-end UI verification flows from high-level natural language intent, optimizing tool-calling efficiency.

Distributed Caching & Multi-Tenant Vulnerability Remediation

Software Development Engineer · Microsoft Security Organization

Focus: Large-Scale Cloud Systems · System Reliability · Software Security

  • Authored a technical design paper evaluating distributed caching strategies for a compliance-management service to mitigate heavy API latency bottlenecks.
  • Re-engineered critical backend services and multi-tenant distributed endpoints using .NET and Azure, reducing p95 latency by up to 5 seconds while sustaining a 98%+ system reliability rate.
  • Remediated high-impact cloud security vulnerabilities under a company-wide secure future initiative, analyzing data boundaries to enforce robust data protection and isolation standards.

Low-Overhead Infrastructure Provisioning & Automation Pipelines

Engineer · Samsung R&D Institute

Focus: Infrastructure as Code (IaC) · Pipeline Efficiency · Resource Optimization

  • Audited multi-tier system environments to eliminate deployment constraints and optimize manual provisioning overhead.
  • Programmed automated cloud infrastructure blueprints using the AWS Cloud Development Kit (CDK), cutting environment setup time latency by 80%.
  • Overhauled application delivery mechanisms by engineering CI/CD automation pipelines for serverless AWS Lambda functions, decreasing deployment cycle times by 75%.

Technical Stack

Systems & Distributed Computing

  • C#
  • Java
  • Python
  • C++
  • Spring Boot
  • .NET
  • RESTful APIs
  • SQL
  • KQL

Cloud & Infrastructure

  • Azure (Durable Functions, CosmosDB, Kusto)
  • AWS (Lambda, CDK, CloudWatch)

Hardware & Edge Environments

  • Verilog HDL
  • Xilinx Vivado
  • System Generator for DSP
  • MATLAB
  • Embedded C

Emerging AI Architecture

  • Model Context Protocol (MCP)
  • Claude Code
  • Prompt Engineering
  • Agentic Tool Workflows

Beyond the Lab

🩰 Creative Discipline & Resilience

I am a trained Jazz dancer. I approach system architectures much like choreography — both demand precise timing, physical or computational constraints, and structural alignment. When forced into long periods of physical stillness due to three separate ankle fractures, I used that time to independently master advanced data structures and transition my technical focus from hardware engineering to software systems.

🗺️ Languages & Curiosity

I like picking up languages in my spare time. I learned German a couple of years ago, and I'm currently working my way through Italian, on and off, whenever I can steal a few minutes here and there. Alongside English and Hindi, it's another way I get to explore new cultures and ways of thinking.

📚 When My Monitor is Off (My Reading Stack)

I read a lot — usually tracking huge yearly goal across fiction, essays, memoirs, and science. You can take a peek at my full shelf of over 500 books on Goodreads, but here is a quick snapshot of what's currently on my desk:

Curiously flipping through right now

  • Our Evenings by Alan Hollinghurst, savoring its beautifully layered, atmospheric storytelling.
  • The Hare with Amber Eyes by Edmund de Waal (A fascinatingly detailed trace of a hidden inheritance across generations)
  • A Brief History of Black Holes by Becky Smethurst, because sometimes software systems aren't complex enough, so I check in on space-time singularities.

A few all-time favorites

I'm drawn to rich world-building, multi-generational sagas, sharp prose, and books about books. A few of my favorites:

  • Classics: Emma by Jane Austen · Madonna in a Fur Coat by Sabahattin Ali
  • Literary fiction: All Passion Spent by Vita Sackville-West · East of Eden by John Steinbeck
  • Non-fiction: Mother Mary Comes to Me by Arundhati Roy · Dead and Alive (essays) by Zadie Smith
  • Books about books: Diary of a Bookseller by Shaun Bythell · The Girl Who Ate Books by Nilanjana Roy

Why this matters to me

“I am fascinated to presume, as a reader, that many types of people, strange to me in life, might be revealed, through the intimate space of fiction, to have griefs not unlike my own. And so I read.”

— Zadie Smith

That line resonates with me deeply. Reading is how I travel to places I could never go - Rome in the 1970s, quiet UK villages of the 1800s. It's how I come to know about fascinating things: antiquarian books, art, black holes, bookshops across the world, and endless new ideas. Every book leaves me a little more curious than it found me. And that, more than anything, is something I can't replace.