Parth Maniar is a Senior Software Engineer with seven years of experience building data-driven systems and production-ready pipelines, currently applying his expertise at Alto Neuroscience in the San Francisco Bay Area. He blends data engineering, predictive analytics, and software development to integrate clinical records, imaging data, and cloud platforms (AWS/GCP), often leveraging large language models and interactive dashboards to turn complex data into actionable insights. Proficient in Python, R, JavaScript, SQL, and modern data tools, he has hands-on experience across ETL, time series, A/B testing, and ML model deployment. His background spans healthcare, pharma analytics, and energy, plus entrepreneurship—he founded an AI-driven agriculture prediction system—demonstrating a knack for practical, domain-focused solutions. An active contributor to web-scraping and automation projects on GitHub, he favors pragmatic scripting for data extraction and pipeline automation, even if he claims not to code in his free time.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE Information Technology, Bachelor of Engineering - BE Information Technology at University of Mumbai
FYJC Science, FYJC Science at Wilson College Chowpatty Mumbai 400 007
ICSE School, ICSE School at G.D. Somani Memorial School
Master of Science - MS Engineering Sciences: Data Science, Master of Science - MS Engineering Sciences: Data Science at University at Buffalo
HSC Science, HSC Science at JAI HIND COLLEGE, MUMBAI
Build Bots, Scrape a website or use an API to solve a problem.
Role in this project:
Full-stack Developer
Contributions:16 commits, 2 PRs, 7 comments in 4 days
Contributions summary:Parth primarily contributed to web scraping and data extraction projects. They developed a CodeChef scraper to retrieve problem data using Python, Selenium, and BeautifulSoup. Additionally, they enhanced a COVID-19 data scraper, incorporating functions and implementing data handling with Pandas. They also created a file organizer script.
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