Career GOAL

All these efforts despite regressed recent failures for whom, someone asked? A quantum jump, to be honest. To open a portal like blackhole and see where it takes me in the fabric of space & time. I am hopeful for that future & that shit needs Quantum computer & lots of funds that can be burnt with a team. This is different from the narratives or representations done via Media & film industry. Aware that most of the folks resonate such advanced tech dev with Iron Man or Transformers but this is beyond current imagination of mankind & I know It's worth chasing.

10+

Intellectual Property being protected.

1

Products being developed

Computer Vision 90%

Deep Learning 90%

Machine Learning 90%

Android App Dev 50%

Natural Language Processing 80%

Unity3D 70%

EdgeAI 80%

MLOps 80%

  • Aug. 2014 - May. 2018

    IIIT Guwahati

    B.Tech in Electronics and Communication Engineering. GPA: 3.0/4.0

  • Jul. 2011 - Apr. 2013

    Loyola High School

    Senior Secondary School
    Percentage: 79.6%

  • Apr. 2001 to Apr. 2011

    Leeds Asian High School

    Secondary School
    C.P.I: 9.2/10.0

Domain Expertise

My core strength lies in building, deploying and maintaining solutions that leverage machine learning and deep learning algorithms for end-consumer usage on cloud and edge platforms.

Data Science Skills

Exploratory Data Analysis, Data Cleaning, Feature Scaling, A/B Testing, Dimensionality Reduction, Hyperparameter tuning, Model fitting, Metric Analysis, MLOps(CI-CD with CT), Data Version Control.

Frameworks

Keras, PyTorch, PyTorch Lightning, Tensorflow, OpenCV, Scikit-learn,Flask, Django, FastAPI, Celery, Redis, Kubernetes, AWS SageMaker, Dockers, Apache Spark, Hadoop, Arduino, Processing, Intel OpenVino Toolkit, Tensorflow Lite and Qualcomm Neural Processing SDK.

Programming Languages

Python, Bash, C++, Javascript, HTML/CSS, C, Kotlin.

Blogs

Few blogs covering the fundamentals of Applied AI/ML.
Note: If you are browsing via Mobile, Kindly double tap on each blog title.
 
 
 
 

From Perceptron to Deep Neural Networks.

 

Design your first deep learning architecture.

Keras

 
 

Revisiting important concepts before training deep neural networks.

 
 
 
 
 

Image classification.

Keras

 
 
 

Object Localisation.

Keras

 
 
 
 

The Transformers

 
 
 
 
 

Types of Transformers- I : BERT

Keras

 
 
 
 

Types of Transformers- II : GPT

Keras

 
 
 
 

Exploratory Data Analysis.

Seaborn, Pandas etc.

 
 

Feature Scaling.

Scikit-Learn

 
 
 
 
 

Dimensionality Reduction.

Scikit-Learn

 
 
 

Hyperparameter tuning.

Scikit-Learn

Latest Blog

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