Tejas Vaij
@tejasvaij
Full Stack Developer and AI/ML Engineer building scalable, data-driven applications that improve performance and engagement.
What I'm looking for
I’m an innovative Full Stack Developer and AI/ML Engineer with 3+ years of experience building scalable applications and data-driven solutions across web, mobile, and desktop platforms. I consistently deliver 50%+ improvements in user engagement and system performance through strong expertise in Python, JavaScript/TypeScript, React, Node.js, and Django.
From developing an IP patenting platform and supply chain optimization with ARIMA forecasting to creating legal AI tools using NLP and machine learning, I enjoy turning complex problems into practical products. I also build AI workspace workflows for end-to-end machine learning and forecasting, while collaborating across teams to improve editorial and operational efficiency with clean, maintainable implementations.
Experience
Work history, roles, and key accomplishments
Full Stack AI Engineer Intern
IntellAxis AI
Jan 2026 - Present (5 months)
Developed an IP patenting platform to streamline patent documentation and improve innovation tracking for AI solutions. Implemented supply chain optimization with ARIMA forecasting and contributed to competitive intelligence agents that surface actionable market insights.
Web Developer Intern
QED42
Feb 2025 - Aug 2025 (6 months)
Built AI-powered POCs for Drupal modules, introducing intelligent automation to enhance editorial workflows. Developed Aeldris for legal document analysis and case research using NLP and machine learning, and delivered a community session on attribute-driven development in Drupal.
Full Stack Developer Intern
Fittlyf
Oct 2022 - Feb 2024 (1 year 4 months)
Developed an e-commerce site and blog, boosting online traffic by 50%. Created TherapEZ using AI and computer vision to improve patient adherence to exercise regimes by 30%.
Full Stack Developer Intern
BioClutch
Mar 2022 - Dec 2023 (1 year 9 months)
Led the AI & data science project CHAIDER, reducing analysis time by 40%. Directed development of GyneSoft to improve data management and analysis for IVF hospitals by 50%.
Education
Degrees, certifications, and relevant coursework
COEP Technological University
Master of Technology (M.Tech), Data Sciences
2025 -
Grade: 8.76/10
Pursuing an M.Tech in Data Sciences with a current CGPA of 8.76/10. Relevant coursework includes data engineering, machine learning, SQL/Python, probability/statistics, queuing theory, and data visualization using Tableau.
Pimpri Chinchwad College Of Engineering
Bachelor of Technology (B.Tech), Computer Engineering
2021 - 2025
Grade: 8.4/10
Completed a B.Tech in Computer Engineering with a CGPA of 8.4/10. Relevant coursework covered data structures and algorithms, database management systems, web development, software engineering, computer networks, microprocessor architecture, and machine learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
tejasvaij.comPortfolio
ai-lab.tejasvaij.comJob categories
Skills
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