Pramika Garg

Software Engineer · Researcher · Builder

About

I build systems that scale. From architecting IoT platforms handling 250,000+ devices to engineering ETL pipelines processing 10TB daily, I focus on creating infrastructure that performs under pressure.

Beyond engineering, I'm a published researcher with work in machine learning, computer vision, and distributed computing.

0 Research Papers

0 Citations

0 Scholarships

0 Awards

Education

Vellore Institute of Technology

B.Tech in Computer Science & Engineering

Vellore, India 2020 — 2024 GPA: 8.8/10 · 3.91/4.0

Merit Scholar Top 10 / 2,100 · 2 years

Executive Board ACM / ACM-W VIT

Senior Technical Committee IEEE VIT

Technical Committee MFC VIT

Experience

Qualcomm Full-time

Aug 2025 — Present

Software Engineer I Hyderabad, India

Engineered a GenAI diagram-generation platform (Claude LLM + Docker + Kubernetes) deployed to an engineering base of 10K+ users; streamlined workflows to drive a 30% reduction in technical documentation time and coordinated rollout with Engineering, PM, and QA.
Orion Award recipient for leading ETL pipeline migration and co-developing an AI-driven Regression Change Detector, enhancing CI/CD traceability and boosting platform reliability.
Owned full-stack backend development for multiple services in Java, conducting peer code reviews and enforcing scalable architecture patterns for the team.

Qualcomm Full-time

Jul 2024 — Jul 2025

Associate Software Engineer Hyderabad, India

Led migration of ETL pipeline to distributed RabbitMQ + MySQL, guiding cross-team adoption; introduced multi-worker processing and back-pressure scheduling, scaling throughput 1 TB → 10 TB/day and eliminating Jenkins bottlenecks.
Architected IoT load-simulation system on AWS EKS + Kafka, generating traffic for 250K+ devices across 13+ teams; introduced adaptive partition balancing, cutting message latency by 40%.
Built self-healing infrastructure with automated reset logic and unified Splunk/Grafana observability; auto-recovered 93% of failures, reducing incident resolution time by 30% and improving IoT device capacity 6× per host.
Developed unified OPA-based access control system in Kubernetes across 20+ APIs; reduced misconfigurations by 60% and streamlined secure onboarding for engineering teams.
Designed and deployed FastAPI + SQLAlchemy Proxy SQL gateway for 5K+ concurrent clients; implemented KEDA-based autoscaling, achieving 99.9% uptime for parallel test workloads.

GE Aerospace Internship

Jan 2024 — Jun 2024

Software Development Engineer Intern Bengaluru, India

Engineered a dynamic Playwright based automation framework for the Engine Change Tool, covering 40+ complex flows; implemented logic to validate variable resultant data states, ensuring stability across diverse fleet scenarios.
Optimized asset transfer workflows by eliminating manual validation loops, resulting in a ~95% reduction in processing errors and saving 583 man-hours annually for the support team.
Collaborated with cross-functional QA teams to document workflows and validation logic, facilitating smooth knowledge transfer and accelerating feature delivery within an Agile environment.

Expedia Group Internship

May 2023 — Jul 2023

Software Development Intern - Flights Gurgaon, India

Built from scratch a configurable Maestro-based framework with 30+ toggles, covering the entire scope of user touch story for Flights LOB.
Developed the complete suite of UI and Flow-based Test Cases for Flights, later turned into a Synthetic test suite to monitor API downtime and unintentional UI changes.
Scaled solution across 4 Business Units, enabling 5X faster test case development and auto regression testing via GitHub Actions.
Worked on iOS and Android codebases to build Accessibility Identifiers, making UI elements more accessible for test automation.

EPFL (Swiss Federal Institute of Technology) Research

May 2022 — Jul 2022

Summer Research Scholar — SaCS Lab Lausanne, Switzerland

Selected among top 2% of global applicants for fully funded fellowship to conduct federated machine learning experiments focused on distributed deep learning under resource constraints.
Designed training loops and simulation pipelines to evaluate model performance on heterogeneous data; implemented lightweight pre-processing to mitigate bandwidth bottlenecks.
Optimized aggregation strategies and communication frequency, achieving 18% improvement in convergence speed and reducing mean network communication overhead by 23.2%.

The D. E. Shaw Group Fellowship

Oct 2021 — May 2022

DESIS Ascend Educare Fellow Remote

Selected as one of 40 fellows from 6,200+ applicants (Top 0.65%) for exclusive 6-month mentorship program; received weekly technical guidance from senior DESIS engineers.
Developed a fully fledged Recruitment CMS in Node.js, designed to streamline candidate tracking and automate application workflows.
Led a team to architect Fin€fy, a novel fintech product designed to revolutionize financial independence for homemakers; built the backend infrastructure and presented the MVP to firm leadership.

Research

6 double-blind peer-reviewed publications across IEEE and Springer, with 11+ citations.

IEEE 2023

Harnessing Creative Methods for EEG Feature Extraction and Modeling in Neurological Disorder Diagnoses

7th CSITSS

6 citations

Springer 2022

Randomised Analysis of Backtracking-based Search Algorithms in Elucidating Sudoku Puzzles Using a Dual Serial/Parallel Approach

Enhancing Visibility: Multiresolution Dark Channel Prior for Dehazing and Fog Removal in Images

An Exhaustive Comparative Analytical Study of 15 Machine Learning Models for Automated Cardiovascular Disease Classification

Inventory Management in AR Using Apple ARKit for VisionOS

4th ICUIS

1 citation

IEEE 2024

Leveraging BBTS and NFTs for Ethical Ticketing in Live Events

GCCIT

Awards & Scholarships

Orion

Qualcomm

Orion Award

Led to early promotion to Software Engineer I

2025

Top 0.9%

Google

Generation Scholarship (APAC)

$1,000 USD · Selected 180 / 20,000+ applicants

Apr 2022

#10 / 2,100

VIT

Merit Scholarship

2 consecutive years

2020 — 2022

Top 2%

EPFL

Summer Research Scholarship

3,600 CHF for federated ML research

May 2022

Top 5%

Harvard University

WECode Scholarship

Selected 250 / 5,000+ applicants

Mar 2022

#6 / 1,385

American Express

AI/ML Hackathon

Individual track

Oct 2021

Top 0.65%

The D. E. Shaw Group

DESIS Ascend Educare Scholarship

Awarded INR 50,000 stipend

Oct 2021

Top 2%

SUSE (CNCF)

Cloud Native Scholarship

Selected 325 / 15,000+ applicants

Jun 2021

Projects

Python 3 POSIX Shell

Parsify

POSIX Shell Token Parser

A logical and well-defined subset of the POSIX standard (IEEE Std 1003.1-2017) Shell Token Recognition rules.
Implements Section 2.3 of the Shell Command Language chapter, covering the unified POSIX.1 Shell and Utilities interface.

HTML CSS JavaScript

Digital Portfolio

Personal Portfolio Website

Designed and developed a responsive portfolio with custom animations, starfield background, and smooth scroll transitions.
Built with vanilla HTML/CSS/JS without any frameworks, fully accessible with semantic markup and ARIA labels.

Python FastAI Seaborn

AirFeed

Sentiment Analysis & Feedback for Airlines

Built sentiment analysis pipeline to extract analytical feedback from Twitter conversations about US airlines.
Utilised Seaborn for creating a beautiful dashboard visualising sentiment from the ULMFiT model.

R dplyr ggplot2

Social Network Analysis

Global Airline Links

Developed a dashboard with multi-modal visualisations and analysed patterns in excluded countries like North Korea and Iran.
Performed extensive analysis of the network effect with respect to airline routes.

Technical Skills