Software engineer working at the intersection of automation, intelligent applications, and reliable systems. Curious by nature. Engineer by practice. Builder at heart.
A selection of things I've built, explored, and shipped — from system reliability to applied machine learning.
Built a local proof-of-concept that runs scheduled API checks and flags failed responses, delivering automated alerts to Microsoft Teams and email so issues can be surfaced earlier.
Explore how it works ↗A behavioral coaching app prototype designed around personalized conversations, adaptive plans and future-self reflection. Built under hackathon constraints with an emphasis on validation and fallback behavior.
Read the build story ↗Explored machine-learning methods for classifying Parkinson's disease data using Python, SVM and logistic regression, with emphasis on preprocessing and comparative modeling.
Explore repository ↗A digital presence built with purpose.
Developed a polished portfolio site for a U.S.-based lawyer and startup founder, balancing visual storytelling, user experience and clear communication.
Visit client website ↗An AI-focused supermarket sales prediction project from my Infosys Springboard internship, exploring data preprocessing, analysis and predictive modeling for retail decision-making.
Explore repository ↗A practical API-health monitoring proof of concept built to shorten the time between a failed check and a developer becoming aware of it.
While debugging API issues, I noticed that developers might only learn about failed API responses after a client reported them. I wanted to surface the failures earlier through scheduled, repeatable checks.
I built a locally running proof of concept that calls configured APIs on a recurring schedule, checks the responses and payloads for failures, and sends alerts through Microsoft Teams and email when a check fails.
The interval is configurable—for example, every five or ten minutes—allowing repeated checks without manually testing each endpoint.
This implementation currently runs locally with a scheduler in the code. A natural next step would be moving it to a hosted environment with persistent logs, retries, alert deduplication, and a dashboard.
I'm Abhinay — a software engineer who gets excited when a difficult problem turns into a simple, useful solution.
My journey spans software testing, automation, machine learning, freelance web development, and cloud exploration. I'm especially drawn to backend engineering and intelligent systems: the invisible infrastructure that makes great products feel effortless.
I care about understanding how things work, writing code that solves real problems, and moving from prototypes to dependable products. Outside the code, I bring an entrepreneurial mindset and a habit of learning by building.
Different environments, one direction: becoming a better engineer and building more meaningful software.
Software testing and quality-focused engineering, with hands-on initiative in API reliability and automated failure alerting. Exploring ways to turn repetitive checks into useful engineering systems.
Worked on GrocerGenius, exploring data analysis and machine-learning workflows for supermarket sales prediction.
Collaborated on a professional web presence for a U.S.-based founder, connecting client needs with polished frontend experiences.
Graduated in 2025. Served as Vice President of E-CELL and helped organize college technical events. Built a foundation in programming, databases, and problem-solving.
Technologies I've used in projects, along with areas I'm actively developing deeper expertise in.
Python · C++ · Java · JavaScript · TypeScript · SQL · Data Structures & Algorithms
REST APIs · React · Express · HTML/CSS · Git · MySQL · Testing & Debugging
Scikit-learn · SVM · Predictive Modeling · GenAI Prototyping · Prompt Engineering
Google Cloud Labs · IAM · Cloud Networking · Kubernetes Fundamentals · Monitoring
API Health Checks · Scheduled Jobs · Teams/Email Alerts · Quality Assurance · Playwright & Vitest Exploration
Backend Architecture · Cloud-Native Applications · Reliable AI Systems · Production Engineering
Have a challenging engineering problem, an interesting product idea, or a team building something ambitious? I'd love to connect. Open Gmail in your browser, or copy my email address to use in any email app.