Hi There,
I'm Aloukik Aditya

i am

About Me

About Me

I'm Aloukik

Machine Learning Engineer

Hi, I'm Aloukik Aditya, an AI enthusiast from Toronto! Passionate about pushing the boundaries of Machine Learning and AI, I've developed innovative chatbots and finetuned cutting-edge models like stable diffusion XL. My journey includes enhancing AI ethics, working with top-tier GPUs, and mastering LLMs and Dall-e. With a decade in programming and significant experience in AI, I'm excited to explore and solve thrilling AI challenges. Let's connect and transform the future together! 🚀🌟

Name: Aloukik Aditya

phone : +1 905 906 0188

email : aloukikaditya@gmail.com

place : Toronto Ontario Canada

Resume

Skills & Tools

Python
C++
R
SQL
Git
PowerBI
TensorFlow
Pandas
NumPy
Keras
OpenCV
MatplotLib
Scikit_learn
NLTK
Flask
AWS
GCP
Azure
SnowFlake
MLflow
KubeFlow
VScode
Jupyter
MLops

6+ years of Experience

Stealth | May 2023 - Present

Chief Artificial Intelligence Officer/Head of AI

  • I lead cutting-edge AI innovations that transform the saas while driving efficiency and reducing costs.(From Business growth to Tech development)
  • Custom AI Pipelines: Developed advanced LLM, Image, avatar and voice training/inferencing pipelines from scratch, enabling hyper-realistic face generation with Flux and Stable Diffusion XL, and precise voice cloning using custom neural network models.
  • Enhanced AI ethics and intelligence with Nvidia Nemo guardrails.
  • Fine-tuned various AI models using LORA PEFT.
  • Developed an algorithm for unlimited chat memory without a vector database.
  • Deployed serverless custom container for llama13b using Vertex AI prediction (GCP) and Torchserve.

Tiger Analytics (Consulting) | Jan 2022 - May 2023

Senior Machine Learning Engineer

  • Developed an ROI engine for PepsiCo, focusing on marketing efficiency and investments.
  • Implemented NLP for sentiment analysis in product reviews.
  • Optimized machine learning models using various techniques.
  • Created a dashboard for Zebra Technologies to analyze PDF contracts with OCR and Huggingface transformers.

Solaris Robots (Healthcare) | June 2021 - Jan 2022

Computer Vision Engineer

  • Worked on AI-powered robots for healthcare, focusing on infection control.
  • Developed computer vision projects including hand detection and grocery inventory management.
  • Optimized existing machine learning code for faster model inferencing.
  • Deployed computer vision models to cloud platforms for scalability and performance enhancement.

Google (Internship) | Jun 2020 - Aug 2020

Researcher

  • Worked on a Google image search project, developing a TensorFlow and PyTorch-based CNN model for NSFW/SFW image classification, Further applied OCR to detect NSFW words.
  • Achieved a 20% performance boost through strategic quantization and hyperparameter tuning.
  • Enhanced classification accuracy by adding a dropout layer, regularization, batch norm, freeze weights

Fanshala | May 2018 - Sept 2019

Machine Learning Engineer (Adtech)

  • Developed an LDA-based topic modeling system for targeted advertising.
  • Implemented preprocessing of HTML pages and data imputation using KNN.
  • Predicted bounce rate using various statistical models.
  • Containerized machine learning models for enhanced efficiency.

IIM (Internship) | Jan 2018 - Feb 2018

Data Scientist Intern

  • Performed customer segmentation using K-means clustering for targeted marketing.
  • Conducted exploratory data analysis revealing key insights and anomalies.

Research and Projects

Collision Detection Research Paper

Published (SMC2021), cv algorithm to predict the accident with the nearby vehicle using single camera.

View Code

Determine Medicine Efficacy (NLP)

Used a review of a customer to predict the sentiment of the user for that drug, which will indicate the user response to it – positive, negative, or neutral.

View Code

Student Score Predictor (MLops)

created a student score predictor with a Flask interface, following MLOps best practices, and utilizing AWS, Docker, MLflow, and GitHub Actions.

View Code

Pushups / Bicep Curl Counter

Personal portfolio website. Don't need much info about it, just scroll down. You're here only!

View Code

Optical Flow using traditional CV

Developed a vehicle tracking program that utilizes optical flow technology, allowing for the simultaneous tracking of multiple vehicles.

View Code

Education

Education is not the learning of facts, but the training of the mind to think.

Masters in Computer Science

Lakehead University | Thunder Bay Canada

2019-2021 | Completed

Bachelors in Computer Science

Guru Gobind Singh Indraprastha University | MSIT

2014-2018 | Completed

Get in Touch

Aloukik's Portfolio

Thank you for taking the time to visit my personal portfolio website. Let's stay connected through social media!

Together, let's strive for the stars 🚀 and collaborate on something meaningful.

quick links

home skills experience Research education about

contact info

+1 905 906 0188

aloukikaditya@gmail.com

Toronto, Canada

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