Abhishek Shah Profile

Abhishek Shah

ML Engineer - AIE | ML-Ops | Python Stack | MongoDB | Tableau | LLMs

+977(981) 587-3277

Janakpur, Nepal

Objective

Software Engineer with 2+ years of experience in Machine Learning, LLMs, Data Science, and Python Full Stack Development as a Freelancer seeking full-time ML Engineer roles.

Education

Bachelor's of Computer Science Engineering (CSE) - Tribhuvan University (2020 - 2024)

Relevant Coursework: Data Mining, Microprocessor, Object Oriented Programming and Design, Artificial Intelligence and Theory of Computation.

Secondary Education - Model Secondary School (2017 - 2019)

Skills

Technical Skills:

Python, Javascript, AI/ML, NLP, Data Science, OpenCV, RecSys, Deep Learning, Flask, SQL, Docker, Kafka, System Design, Microservice Architectures

Soft Skills:

Project Leader, Writing and Communication, Content Development

Experience

AIE - Artificial Intelligence Engineer & AI Team Lead

Jun 2024 - Present

Inflancer Technology, Gwarko, Kathmandu, Nepal

  • Recommender Systems: Developed and deployed advanced Recommender Systems (RS) to boost user engagement through personalized content.
  • Intelligent Search: Implemented intelligent search features using NLP to enhance content discovery.
  • End-to-End AI Solutions: Led the development and deployment of scalable AI solutions on cloud platforms using Docker and Kubernetes.
  • Cross-functional Collaboration: Integrated AI features with business objectives, working closely with diverse teams.
  • Technical Expertise: Skilled in Python, Apache Kafka, MongoDB, LLMs, and Neural Networks for real-time systems.

ML Researcher / Research Writer

Jan 2019 - 2024

Freelance, Dharan, Nepal

  • Researched and worked on the "Nepali Music Genre Classification" paper to assist my mentor in studying M.Sc abroad.
  • Researched and worked on the "Multi-modal Hate Speech Detection using Deep Learning" paper to assist my mentor studying M.Sc. abroad.

ML Engineer

Jan 2019 - 2024

Freelance, Kathmandu, Nepal

  • Independently worked on several ML and LLMs Projects.
  • Created a Python code generator by Fine-tuning a Llama-2 Model on the custom collected code/description dataset.
  • Working on a hand gesture recognition project using OpenCV and deploying it using Vercel.

ML Intern

Oct 2023 - Nov 2023

Codsoft, Bangalore, India

  • Developed a machine learning model to identify fraudulent credit card transactions using Logistic Regression and Random Forest, addressing imbalanced data with SMOTE.
  • Predicted customer churn with Random Forest achieving 86.55% accuracy, employing data cleaning, normalization, feature engineering, and hyperparameter tuning.
  • Implemented NLP techniques for movie genre prediction, optimizing Logistic Regression to achieve 57.87% accuracy.
  • Created an SVM model for SMS spam detection, achieving 98% accuracy, with extensive preprocessing.

ML Sub-Mentor

Oct 2023

ACES, Dharan, Nepal

  • Worked as a sub-mentor in a one-week-long ML training camp. Helped attendees understand ML concepts, errors, and possible improvements.

Python Developer

2019 - 2024

Freelance, Nepal

  • Developed and contributed to several projects including a Library Manager, Password Strength Checker, Games (Pong, Blackjack, Snake), and a Tkinter Text Editor.
  • Built a Ticket Generator using PyQt, Pillow, and Sqlite3, showcasing skills in database handling and image generation.
  • Implemented an image editor with OpenCV and Pillow and a SQLite-based student record management system.
Projects
  • Project-codebeing:
    Built a tool to rapidly convert natural language descriptions into executable Python code. Trained a Llama-2 7B model on a custom code/description pairs dataset collected through GitHub Scraping.
  • Project Hand-Gesture Recognizer:
    Building a project that uses OpenCV and a CNN model to convert hand gestures into sign language codes. An effective tool for accessibility.
  • Sentiment Analyzer:
    Successfully built a sentiment analyzer using the Distilbert-Base model to classify sentiment. The model achieved 89% accuracy in text classification tasks.
Extra-Curricular Activities
  • I actively write on Medium regarding tech topics, viewed by over 1k+ readers per week.
  • Working on my GitHub repos "how-I-learned-python" and "how-I-learned-ml" as guides for beginners.
  • Volunteered and managed Deltathon (hackathon) conducted by ACES, Eastern Regional Campus, TU.
  • Participated in Deltathon with team "ZAV".
  • I love trying to put out ideas into physical shape, whether through code, sketches, or idea-logs.
Leadership
  • Team leader for the college major project "Project-codeBeing". Handled model training, deployment, backend, and Reactjs guidance. Successfully demonstrated the project to the Jury.