Built an AI task allocation system deployed at Tata Motors — serving 150+ daily users and saving 40% of manual work. I build production-ready full-stack apps, ML systems, and data pipelines.
I'm a recent B.Tech graduate in Electronics & Telecommunication Engineering from VIIT Pune (CGPA: 8.05/10) with a strong foundation in software development, backend engineering, DevOps, and applied machine learning.
During my 6-month internship at Tata Motors, I built an AI-based task allocation system that reduced manual allocation time by 40%, developed real-time production monitoring dashboards with 99.9% uptime, and created tools used daily by 150+ internal users across multiple departments.
My technical toolkit spans full-stack development (Python, Flask, FastAPI, React, Node.js, MERN Stack), DevOps (Docker, CI/CD, Linux, Git), data analysis (Pandas, NumPy, Power BI, Matplotlib), and machine learning (TensorFlow, Keras, Scikit-learn, PyTorch, CNNs). I hold IBM Professional Certificates in Full Stack Development and DevOps & Software Engineering.
Currently seeking: Full-time opportunities as a Full Stack Developer, Python Backend Developer, DevOps Engineer, or Data Analyst.
Delivered production-ready systems at Tata Motors serving 150+ daily users with 99.9% uptime — shipping real solutions, not just prototypes.
Comfortable across the entire stack — React frontends, Flask/FastAPI backends, PostgreSQL/MongoDB databases, Docker, and CI/CD pipelines.
Built ML-powered analytics (ARIMA, LSTM, CNNs) and dashboards that turn raw production data into actionable decisions.
Technologies and tools I use to build production-ready solutions
Real-world applications showcasing production development skills
⭐ Spotlight Projects
ML-powered system using predictive analytics and anomaly detection to optimize supervisor lineup time and shop-floor efficiency at Tata Motors.
Python · Scikit-learn · Flask · PostgreSQL · Pandas · REST API
🔒 Proprietary — private repository
Case Study →Live monitoring system tracking component status across manufacturing stages with color-coded alerts and auto-refresh functionality.
Python · Flask · RESTful APIs · JavaScript · Chart.js
🔒 Proprietary — private repository
View Reference →Interactive visualization dashboard for Tata Winger body-building process, enabling data-driven decision-making for production workflows.
HTML5 · CSS3 · JavaScript · REST API · Chart.js
🔒 Proprietary — private repository
Deep CNN achieving 94% accuracy on 3,000+ MRI images for medical diagnosis across 4 tumor types (glioma, meningioma, pituitary, no tumor).
Python · TensorFlow · Keras · CNN · OpenCV · NumPy
Custom 7-layer encoder-decoder with skip connections, achieving 8–12 dB PSNR improvement across motion, gaussian, and lens blur types.
Python · Keras · TensorFlow · OpenCV · NumPy
Hybrid ARIMA + LSTM forecasting model for 7–30 day demand prediction with FastAPI backend serving analytics data to dashboards.
Python · FastAPI · LSTM · ARIMA · PostgreSQL · Pandas
AI-powered resume analysis tool that evaluates resumes and provides detailed improvement feedback using the Gemini API.
React · Node.js · Express · MongoDB · Gemini API
Real-time typing speed web app measuring WPM, accuracy, and error rate with user authentication and progress analytics.
React · Node.js · Express.js · MongoDB · REST APIs
Full-stack fitness app enabling users to search 1,000+ exercises by muscle group and equipment type with guided video tutorials.
MERN Stack · ExerciseDB API · YouTube Data API
Full-stack blood bank management system with donor registration, blood inventory tracking, and request management.
Java · Spring Boot · MySQL · REST APIs
Complete hotel booking platform with user authentication, admin dashboard, booking calendar, and real-time availability tracking.
Flask · SQLite · HTML · CSS · JavaScript · REST APIs
Tata Motors · Pune, India
Developed and deployed ML-powered production tools, backend services, and dashboards used daily by manufacturing teams across multiple departments at one of India's largest automotive companies.
Python · Flask · FastAPI · PostgreSQL · Scikit-learn · Pandas · NumPy · REST APIs · HTML/CSS/JS · Machine Learning
Electronics & Telecommunication Engineering
Vishwakarma Institute of Information Technology (VIIT), Pune · –
CGPA: 8.05 / 10.0
Key Coursework: DSA, Machine Learning, DBMS, OOP, Computer Networks, Operating Systems, Web Technologies
Science Stream
Decent Junior College, Nagpur · –
95.83%
Subjects: Physics, Chemistry, Mathematics, Computer Science
Semi-English Medium
SFL High School, Dhamangaon · –
88.60%
Sharing knowledge from real-world projects and continuous learning
A deep dive into using Scikit-learn for predictive analytics and anomaly detection in manufacturing, reducing manual allocation time by 40%.
Read on GitHub →Building a 94% accurate deep learning model using TensorFlow and transfer learning with VGG16 for medical image classification.
Read on GitHub →Setting up a production-grade CI/CD pipeline with Docker and GitHub Actions for Flask applications — from zero to automated deployment.
Read on GitHub →A practical comparison based on real project experience, helping you choose the right backend for your next production application.
Read on GitHub →Performance tips and patterns for building high-throughput REST APIs with FastAPI, async programming, and database optimization techniques.
Read on GitHub →Feedback from mentors and colleagues at Tata Motors
"Abhishek demonstrated exceptional problem-solving skills during his internship. His AI task allocation system significantly improved our production efficiency."
"Abhishek has a sound knowledge of programming. He has a good understanding of the process flow. He is keen on software integration and has remarkable presentation skills. He is result oriented."
"I was truly impressed by Abhishek's approach to problem-solving and his eagerness to learn. His collaborative mindset and willingness to support teammates created a very positive learning environment."
Industry-recognized credentials demonstrating continuous learning
IBM via Coursera — Professional Certificate covering front-end, back-end, cloud deployment & DevOps
IBM via Coursera — Professional Certificate in modern DevOps practices, CI/CD pipelines & collaborative development
LinkedIn Learning — Comprehensive Python programming fundamentals and practical applications
LinkedIn Learning — Object-oriented programming concepts and advanced C++ techniques
Infosys Springboard — Core DSA concepts for technical interviews and problem-solving
Various platforms — Web development, data science, cloud computing, and more
Total: 20+ Professional Certifications spanning Full Stack Development, Machine Learning, DevOps, Data Analysis, and Cloud Computing.
Open to opportunities, collaborations, or just a conversation
⚡ Typically responds within 24 hours
Full-time · Remote & Hybrid · Pune / India