# Vinit Jahagirdar

> Software Engineer | Python, JavaScript, Node.js, React

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/vinitjahagirdar

I’ve always been curious about how things work - starting with my background in Mechanical Engineering and evolving into a passion for software development. In just two years, I dove into core computer science concepts and built projects that not only challenged me but also fueled my desire to create real-world solutions.

During my internship at Hermis, I had the opportunity to work on a product that combined advanced AI with practical functionality - developing APIs, managing deployments, and refining the user interface. That hands-on experience set the stage for my current role as a Full Stack Engineer at SCU Frugal Innovation Hub, where I build bilingual educational platforms that aim to make learning more accessible and engaging.

I’m proficient in Python, JavaScript, and React, and I love building full stack applications that balance technical rigor with a keen sense of business impact. As a collaborative team player, I believe that the best results come from open communication and a willingness to listen to diverse perspectives.

I'm always eager to keep learning and am on the lookout for full stack or backend roles that offer new challenges and opportunities to innovate. If you’re a recruiter, hiring manager, or someone who values technical expertise paired with a collaborative spirit, I’d be excited to connect and explore how I can contribute to your team.

Tech I have worked with: Next.js, Node.js, React, Flutter, Tailwind CSS, Convex, Firebase, Docker, AWS, MySQL, LangChain

## Work Experience
### Software Engineer @ SCU Frugal Innovation Hub
Jan 2024 – Jan 2025 | Santa Clara, California, United States

### Software Engineer Intern @ Hermis, Inc.
Jan 2023 – Jan 2024

### Data Science Intern (Practicum) @ Intuitive
Jan 2023 – Jan 2023 | Sunnyvale, California, United States
• Processed and studied vast volumes of text data using natural language processing techniques, eliminating noise and discrepancies to enhance data quality for advanced analytics, resulting in more accurate insights and decision-making.
• Implemented NLP methodologies and leveraged Hugging Face pipelines to extract essential sentences and keywords from text data, lead to 40% reduction in information handling time for the Investor Relations team’s business insights.
• Applied Universal sentence encoder models to enhance quarterly trend identification accuracy by 20%, while achieving a 95% success rate in emotional tone detection for keyword-related conversations, and created visualization dashboards.
• Automated manual transcript reading using a Machine Learning Pipeline, reducing downtime from hours to 15 minutes.

### Data Science Intern @ Decibels Lab
Jan 2021 – Jan 2021 | Bengaluru, Karnataka, India
• Involved in wrangling of data, converting raw data into clean, usable format using Python and its libraries- Pandas, NumPy and Matplotlib.
• Worked on path optimization of a material handling warehouse robot using Q-learning and Reinforcement learning algorithms.
• Predicted material properties at different temperatures using Linear Regression algorithm with 92% accuracy.


## Education
### Master of Science - MS in Information Systems
Santa Clara University Leavey School of Business

### Bachelor of Engineering - BE in Mechanical Engineering
The National Institute Of Engineering, Mysore


## Contact & Social
- LinkedIn: https://linkedin.com/in/vj1909
- Portfolio: https://vinit-jahagirdar.vercel.app/

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Source: https://flows.cv/vinitjahagirdar
JSON Resume: https://flows.cv/vinitjahagirdar/resume.json
Last updated: 2026-03-29