About Anuj
My career began in Mumbai as a Software Developer.
I wonder what's next...
Born in Mumbai where I attended St.Francis D'Assisi High School and represented the school in football and learned Indian Classical music for 8+ years. I graduated from Thadomal Shahani Engineering College (Mumbai University) with a degree in Bachelor of Engineering. Unlike other kids divided between either sports or arts or science, I was able to indulge myself in all fields and excel in the same.
After completing my undergraduate I started working as Software Developer at Excell Autovista (Mumbai, India) which was an automobile retail company where I was able to showcase my skill set along with learning new skills around. I kept myself busy throughout the weekend by trekking through scaled mountains and forts.
After gaining experience in the field, it was time to gain advanced knowledge hence i decided to pursue my future at Rochester Institute of Technology (New York) to gain expertise in the field of Computer Science. Along the course, I'm trying to gain experience in the field of Machine learning, Computer Vision, and Big data by creating projects of my own. The thought of machine taking over all human emotions and work has always fascinated me and keeps me indulged to study about the same.
Skills
My passion lies in creating programs using languages like Java, Python, C/C++, MATLAB, JavaScript, HTML, CSS.
My current toolset is coding these in Sublime Text, Jupyter Notebooks, Git, Eclipse, MATLAB, Visual Studio, IntelliJ IDEA, PyCharm CE, Google Colab, MongoDB, MySQL but :
Education
Rochester Institute of Technology
(AUG 2019 - ONGOING)
- M.S in COMPUTER SCIENCE CGPA : 3.74 / 4.00
• Graduate Coursework : Introduction to BigData, Foundations of Artificial Intelligence, Foundations of Algorithms, Computer Vision, Introduction to Machine Learning, Big Data Analytics, Database Management System.
Thadomal Shahani Engineering College (Mumbai University)
(MAY 2014 - MAY 2018)
- Electronics and Telecommunication Engineering
• Undergraduate Coursework : Structured Programming Approach, OOPM, Image and Video Processing.
Work Experience
Bose Corporation (Framingham, MA)
(JAN 2021 - ONGOING)
- Software Engineering, Machine Learning Engineer Co-op
• Built Machine Learning models by researching, implementing, and evaluating a variety of published approaches and algorithms for audio signal processing.
• Worked as a Software Engineer in the planning, analyzing, designing, developing, testing, implementing, and maintaining - Software Development Life Cycle (SDLC) for a product.
• Pruned and compressed deep learning models for deployment on edge devices or embedded targets instead of using cloud services thereby reducing the lag time between responses by 75%.
• Recognized anomalies in dataset by performing data analysis and data visualization using PostgreSQL, AWS QuickSight, Grafana, Power BI and Tableau thereby increasing model efficiency by 35 %.
• Built DNN models with TensorFlow, Keras, PyTorch, etc. on AWS EC2 instance and trained/tested the model using data from AWS S3 bucket.
• Developed, Integrated, and deployed several microservices on AWS Lambda and Docker and integrated HTTP/ RESTful API to access and use data.
Excell Autovista (Mumbai, India)
(JUN 2018 - JUN 2019)
- Software Developer
• Built a Lead Management System using Python to successfully convert incoming leads into new business opportunities and added API integration from Facebook, JustDial, Autoportal, etc. This helped in decreasing lead leakage and increasing annual revenue by 50,000$.
• Created a Business LMS for maintaining business loan customers, appointment, follow up, reporting, and rights.
• Assisted in building an AI chatbot using Python/NLP for the company’s website using Natural Language Toolkit (NLTK) and libraries like scikit, numpy, etc. This helped in increasing the visiting to business lead conversion ratio by 25%.
LANGUAGES & TECHNOLOGIES
- Python
- Java
- MATLAB
- R programming
- C/C++
- HTML5
- CSS
- JavaScript
- Django
- Docker
- Kubernetes
- ReactJs Native
- NodeJs
- Python
- Java
- MATLAB
- R programming
- C/C++
- HTML5
- CSS
- JavaScript
- S3
- EC2
- Lambda
- QuickSight
- Tableau
- Power BI
- Weka
- Python (Matplotlib, Scikit-learn, NumPy)
- OpenCV
- TensorFlow
- YOLO
- NumPy
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
- Pandas
- Matplotlib
- NLTK
- Jupyter Notebooks
- Git
- Eclipse
- MATLAB
- Visual Studio
- IntelliJ IDEA
- PyCharm CE
- Google Colab
What i've Built
Implemented Cyclic Generative Adversarial Networks to manipulate face image and generate an aged image of a person’s current photograph. Library’s used: TensorFlow, Pytorch, OpenCV, NumPy, Pandas.
Developed a pathfinding bot using A* Algorithm on Python using libraries such as NumPy and PIL for image processing. Implemented BFS to change land pixels according to season and tested the program for different seasons.
Built a Flappy bird game using Pygame which is played by an AI bot using Genetic Algorithm. Libraries used Neat for Neural Network, pygame, os.
Implemented Decision Tree and Adaptive Boosting to classify a text between two languages Dutch and English. Library’s used: Numpy, Pickle
Created a program using Java to create,load,integrate and clean Wikidata in MySQL with 9.7 Million entries with optimized querying
Created a program using Java to create,load,query and mine with algorithms such as K-means in MongoDB with 9.7 Million entries with optimized querying
Implemented a mixture of Single Shot detector and You Only Look Once algorithms to detect objects in a real time video using Deep neural networks. Used Contourlet transform to track multiple objects in real time using openCV2.
Created a program using Python which captures photo from camera automatically after detecting smile using Haar-cascades classifiers that detect features of the face.