About
Experienced AI Engineer, contributing to the development of cutting-edge AI software solutions at Seewise.ai, specializing in computer vision applications. I take care of crafting clean and efficient code for various components of the machine learning pipeline, particularly focusing on object detection and image classification tasks. Also evaluating model performance using key metrics like accuracy and precision, ensuring optimal computational efficiency. Instrumental in integrating ML models into production systems, emphasizing seamless deployment and scalability while optimizing for inference speed and memory efficiency. Recognized for identifying and addressing performance bottlenecks, enhancing system speed and resource utilization. Previous achievements include leading the development of an AI framework at Microbiological Laboratory Research and Services, resulting in a significant improvement in result delivery speed. Additionally, contributed to the creation of PyHRM, an open-source Python library for efficient signal processing and feature extraction in PCR products, and developed an AI tool for hashtag identification in images using pre-trained models. Proficient in AI-based frameworks, machine learning algorithms, clean code writing, and effective integration and deployment practices, with a strong emphasis on business logic development and software optimization.
Holds a Master's degree in Data Analytics and proficient in Python, R, C++, SQL, and various libraries/tools. Skilled in data wrangling, exploratory data analysis, feature engineering, machine learning techniques, and model deployment.
Tools I Work with
Technical Stack
Projects
AI in Biotechnology
An AI-based framework and data-driven methodology for post-PCR High-Resolution Melting Analysis (HRMA)
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Image to hashtags
An AI tool that generates trending hashtags for images based on their content, using pre-trained models for captioning and hashtag generation.
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Product Review Analysis
N-Gram Modelling for E-Commerce Product Reviews & Classification with Transformers pipeline
PyHRM
PyHRM is a Python library for processing DNA melting signals, extracting features like melting temperatures, peak points, and peak area. It offers visualization and filtering for accurate peak detection.
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Extractor
A lightweight simple GUI-based application that extracts '.rex' files from the Qiagen's Rotor-Gene Q Software to the necessary '.xls' file.
Meltcurve Interpreter
Interactive Web application for classifying PCR products through data upload and retrieval from SQL database, with features such as Visualization, Feature Extraction, and Report Generation.
Certificates
