Hi, I'm Parva Shah
Software Engineer crafting innovative solutions and creative fixes.
Software engineer with experience building distributed systems, optimizing performance, and shipping production-ready features. Committed to building technology that is efficient, scalable, and user-centric.
Who I Am
About Me
Passionate developer with a love for creating meaningful digital experiences
I’m a Software Engineer with 3+ years of experience building end-to-end products, from concept and architecture to deployment and iteration. What began as curiosity about how software works transformed into a passion for delivering polished, user-focused solutions that scale.
When I’m not engineering products, I’m experimenting with new tools, exploring modern architectures, contributing to open-source, and sharing insights with the dev community. I'm driven by collaboration, continuous improvement, and building technology that solves real problems.
Skills & Technologies
Languages
Frontend
Backend
Tools & DevOps
Collaboration
Career Path
Experience & Education
My professional journey and continuous learning
Work Experience
Software Engineering Intern
Develeoped an end-to-end data pipeline for which consumes data using native scrapers.
Key Achievements:
- •Built an AWS pipeline (EC2 + SQS + S3) processing 10K+ requests/day (~300K/mo) and ~2 GB/day, using batching/right-sized compute to reduce per-ingest cost while scaling reliably.
- •Engineered a Python scraper (BeautifulSoup, Requests, asyncio) parsing 150+ profiles/hour (~3.6K/day) at ~95% accuracy, replacing manual/third-party work to save recurring vendor fees and ops hours each month.
- •Added CloudWatch monitoring and Auto Scaling to handle traffic spikes, cutting idle capacity and cloud spend while improving reliability.
Graduate Software Engineer
Automation, analysis, and debugging infrastructure for research and teaching systems.
Key Achievements:
- •Replaced manual processes with Python scripts + cron, shrinking effort from 10+ hrs/week → <3 hrs/week (≈7+ hrs/week saved → ~350+ hrs/year of regained capacity).
- •Reverse-engineered 6,000+ WeChat mini-apps (APKTool/JADX/Wireshark) to flag malicious behaviors—hardening security posture at scale.
- •Automated API tracing via Python middleware, improving debugging across hundreds of endpoints—faster issue resolution, fewer costly regressions.
Software Engineer
Modernized a legacy stack and boosted throughput for data-heavy workflows.
Key Achievements:
- •Migrated UI jQuery/PHP → React, cutting page load from 2.5s → 1.2s for 500+ daily users (≈52% faster; improved conversion and support costs).
- •Designed a Java thread-pooling system, raising throughput from 20K → 30K records/hour (≈50% gain; lower compute time per batch).
- •Delivered React + Flask PoCs that helped onboard 500+ customers, accelerating sales cycles and reducing bespoke engineering time.
Research Assistant
ML research + tooling to speed data processing and raise model quality.
Key Achievements:
- •Re-implemented the ULP algorithm in TensorFlow/Keras, improving model accuracy by 25% (fewer costly misclassifications downstream).
- •Built a Django UI with Pandas/NumPy for log parsing, shrinking processing time from 10h → 6h (≈40% faster; reduced compute + analyst hours).
- •Ran an ML testing pipeline (scikit-learn + CV) processing 12M+ log entries in 2h vs 6h (~3× speedup; quicker experiment cycles).
Education
Master of Science in Software Engineering
Graduated with Distinction. Focused on software engineering, algorithms, and Software Architecture.
Bachelor of Technology in Information Technology
Graduated with Distinction. With MITACS Scholarship and GRI Funding for Masters
Certifications
MITACS Globalink Reserach Intern
MITACS
Google Cloud Professional Developer
Google Cloud
React Developer Certification
Udemy
Portfolio
Featured Projects
A showcase of my recent work and side projects
Kafka Data Pipeline
From events to insights in seconds
Go services producing and consuming Kafka topics with backpressure, idempotency, and containerized deployment.
AI Windows Assistant
Desktop automation with a modern UI
React + Vite frontend with logs/history that bridges natural-language intents to system utilities.
Gujarati Hate Speech Classifier
Indic-BERT with active learning
Corpus building, fine-tuning, evaluation, and data-centric loops for minority-language safety.
Club Management App
Ops, members, and events in one place
Full-stack nightclub management solution built by a 4-person team with CI/CD.
Rideshare App
Reliable trips with geo-aware routing
Platform with Django + PostgreSQL backend and a Node.js geolocation service; API prototyped in Flask.
CopyURL
One-click URL copier for your browser toolbar
Lightweight browser extension that copies the current tab’s URL to your clipboard on click. No tracking or external services.
Django Blog
Simple blog built with Django
Basic blog project scaffold with a Django app and project, using templates and SQLite for storage.
Car Price Predictions
ML models to estimate used-car prices
Supervised learning project to predict car prices from features like year, mileage, and fuel type. Includes data cleaning, feature encoding, model training, and evaluation.
Interested in seeing more of my work?
Contact
Get In Touch
Ready to work together? Let's discuss your next project
Let's Connect
I'm always interested in new opportunities and exciting projects. Whether you have a question, want to collaborate, or just want to say hi, I'd love to hear from you!
Quick Response
I typically respond to emails within 24 hours. For urgent matters, feel free to call or text.