Sr. AI / ML Engineer | Research Scientist | Quantum Computing Enthusiast
Jun. 2025 - Present | Pune, Maharashtra, India (Hybrid)
Sep. 2024 - Present | Ahmedabad, Gujarat
Jan. 2022 - Present | Gandhinagar, Gujarat
Dec. 2020 – Dec 2021 | Remote
Jun. 2021 – Sep. 2021 | Varanasi, UP
As a backend developer, I built data-fusion logic, FastAPI services, ETL workflows and shared security utilities for a system analysing roadway data.
I developed a vehicle-monitoring system with fine-tuned YOLOv8, tracking and event-detection logic, connected to a FastAPI web application through WebSockets.
I developed road-inspection workflows using fine-tuned YOLO, ByteTrack, MiDaS and SAM 2, with OpenVINO experiments for inference performance.
I built a Django-based resume parser using spaCy and NLTK to extract and organize skills, education, work experience and contact information.
I developed a GAN-based image-inpainting model, trained it on artificially masked images and built a Streamlit interface for uploading images and viewing restorations.
I built a geospatial ML pipeline to detect conflicts between roadway geometry and trip coordinates, from spatial data preparation to continuous monitoring.
I developed a traffic-estimation workflow that combined large-scale data preparation, seasonality analysis and tree-based models to estimate vehicle turning movements.
I developed a two-round interview chatbot using TensorFlow, an LSTM-based seq2seq model, Flask and a custom HTML, CSS and JavaScript interface.
I built voice-assisted travel-information apps for iOS and Android, connecting Siri and Google Assistant interactions to travel-time and roadway-incident APIs.
Integrated flight control and sensor management for drones using ESP32, LoRa, and MicroPython.
Voice-controlled and motion-detecting home automation system using Arduino and Kotlin-based smartphone app.
Temperature monitoring and anomaly detection for server rooms using Zabbix and temperature sensors.
Developed a system to detect spatial changes over time using satellite imagery and advanced image processing techniques. The solution combines deep learning models, clustering, and dimensionality reduction for environmental and urban insights.
CNN, RNN, DNN, BNN, LSTM, SSD, GAN, DRL, Transformer
Spacy, NLTK, Transformers, Llama3.1, Groq, RLHF, Hugging Face
OpenCV, Yolo, Midas, Pillow
Python, Rust, C/C++, Java (For Performance)
SQL, NoSQL Databases
ESP32, Arduino, LoRa
Bevy, PyGame, Webots (Robotics Simulations), SUMO
Android (Kotlin, Java), Cross-Platform (Flutter), iOS (Swift)
HTML, CSS, JavaScript, Flet, Streamlit, Django, FastAPI, Flask
QGIS, PostGIS, GeoPandas, Shapely
Vertex AI, AutoML, Dialogflow ES, Cloud Run
Photoshop, Illustrator, Inkscape, After Effects, Synfig Studio
Computer Architecture, Linux, GitLab CI/CD, Keycloak, PostgreSQL, MySQL
Project End to End Development and Deployment
Ganpat University, Ahmedabad | 2020 - 2022
Exploring the intersection of quantum computing and machine learning...
Deep dive into modern computer vision algorithms...