Who am I ?
A Machine Learning Consultant | Developer
Hey there! I am Pranay, A Machine Learning Consultant & an Applied AI Engineer with a passion for driving innovation in start-ups. Experienced in crafting state-of-the-art models, while adept at designing and optimizing inference and data pipelines. Proficient in ML Ops tools for model monitoring and evaluation.
Personal Info
- Birthdate : 09/12/2002
- Email : pranaysaha61@gmail.com
- Phone : + (91) 7044720385
- Address : 10A Belghoria Kolkata India.
My Expertise
Data Science
Machine Learning
Computer Vision
Generative AI
My Resume
Expertise
Indian Statistical Institute
Junior ML Researcher
•Designed a novel symmetry-based method for Person-Vehicle Reidentification.
•Conducted a comparative analysis, demonstrating an approximately 8% improvement in accuracy compared to existing models (State-of-the-Art).
Yukin
Machine Learning Consultant
•Collaborated with the founding team developing models for personalized Digital Avatars with realistic expressions and lip-synchronization.
•Designed and developed a RESTful API using FAST-API and maintained API documentation and specifications.
Proglint Software Solutions
Computer Vision Consultant
•Crafted a POC for Person Reidentification and real-time tracking across a multicamera environment.
•Engineered and executed a highly precise model boasting a 98% precision rate, significantly slashing False Positives by 30%.
Education
Institute of Engineering & Management
B-Tech Computer Science Engineering Specilaization AIML
CGPA: 8.89
AIML Lead at Google Developer Student Club 2022 - 2023
Courses: Data Structures and Algorithms, Machine Learning, Pattern Recognition, Database Management System, Object Oriented Programming
St Xavier's Institution
High School Degree
Courses : Physics, Chemistry, Maths, English, Computer
Skills
Python
Java
C
SQL
TensorFlow
Keras
PyTorch
Git
Docker
MLOps
FastAPI
Open-CV
Scikit-Learn
NLTK
My Projects
Latest Blog
Dive into MLX: Performance & Flexibility for Apple Silicon
In the dynamic landscape of machine learning frameworks like Tensorflow, PyTorch, and Jax, we have a new contender Apple’s MLX. Designed specifically for machine learning research on Apple Silicon devices, MLX offers a NumPy-inspired, low-level Python API and a fully-featured C++ API that closely mirrors it.
Read more