YBS

Yaseen Basha Shaik

AI Engineer

https://www.opentalent.in/yaseen-basha-shaik

AI/ML & Mobile Application Developer with strong DSA and competitive programming skills.

Key Strengths

Strong foundational knowledge in AI/ML, demonstrated through projects like 'Microplastic detector' (EfficientNet, ViT, ensemble models) and 'Instant News' (TensorFlow Lite, ML-based bias detection).
Experience with Retrieval-Augmented Generation (RAG) systems, semantic search, and LLM integration (Gemma 2B, Ollama) as shown in 'Philosophia' project.
Proficiency in Python, PyTorch, TensorFlow, OpenCV, and FastAPI, which are highly relevant for an AI Engineer role.
Good understanding of data structures and algorithms, evidenced by competitive programming training and LeetCode/GeeksforGeeks achievements.
Exposure to full-stack development concepts (React frontend, REST APIs) which is beneficial for deploying AI solutions.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects show a diverse interest in AI applications, from environmental monitoring (Microplastic detector) to news analysis (Instant News) and knowledge retrieval (Philosophia). This breadth of application suggests adaptability and a willingness to explore different problem domains. The focus on AI/ML aligns well with an AI Engineer role, indicating a strong passion for the field. However, the lack of professional experience makes it challenging to fully assess cultural fit in a corporate environment.

Soft Skills & Operational Fit

The candidate demonstrates a proactive learning attitude through competitive programming and certifications. Project descriptions indicate an ability to work on complex, multi-faceted problems. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or specific operational fit beyond technical contributions.

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About

Highly motivated and results-driven individual pursuing a Bachelor of Technology in Computer Science and Engineering. Possessing strong skills in AI/ML, mobile development (Android, Jetpack Compose), and web development (FastAPI, React.js). Proven ability in competitive programming, excelling in data structures and algorithms. Adept at developing innovative solutions, demonstrated through projects like an AI-powered microplastic detector and a RAG chatbot for philosophy queries. Eager to apply technical expertise to challenging real-world problems.

Top Skills

PythonComputer VisionDeep LearningAndroid

Education

Lovely Professional University

Bachelor of Technology · Computer Science and Engineering

August 1, 2022 – June 30, 2026

Narayana junior College

Intermediate

June 1, 2020 – May 31, 2022

Bhashyam Schools

Matriculation

June 1, 2019 – May 31, 2020

Projects

Microplastic detector

January 1, 2026 – April 1, 2026

Developed "MicroScope,” an AI-powered microplastic detection system using EfficientNet, Vision Transformer (ViT), and a hybrid ensemble model, achieving 97.6% classification accuracy on microscopy image datasets. Enhanced detection performance through ensemble learning and extensive model evaluation, achieving strong Precision, Recall, and F1-Score metrics for accurate microplastic classification and reduced false predictions.

Instant News

December 1, 2025 – April 1, 2026

Developed a real-time Android news application delivering breaking news updates using News APIs and Firebase. Implemented AI-powered news summarization and chatbot features using TensorFlow Lite models. Integrated ML-based bias detection to analyze news transparency and improve content awareness.

View Project

Philosophia

August 1, 2025 – January 1, 2026

Built a Retrieval-Augmented Generation (RAG) chatbot capable of answering philosophy-related queries from a knowledge base of 360K+ passages. Implemented semantic search using Sentence Transformers and ChromaDB, improving contextual accuracy. Integrated Gemma 2B through Ollama and developed REST APIs using FastAPI. Designed a responsive React frontend for conversational interaction and document exploration.

View Project

Key Strengths

Strong foundational knowledge in AI/ML, demonstrated through projects like 'Microplastic detector' (EfficientNet, ViT, ensemble models) and 'Instant News' (TensorFlow Lite, ML-based bias detection).
Experience with Retrieval-Augmented Generation (RAG) systems, semantic search, and LLM integration (Gemma 2B, Ollama) as shown in 'Philosophia' project.
Proficiency in Python, PyTorch, TensorFlow, OpenCV, and FastAPI, which are highly relevant for an AI Engineer role.
Good understanding of data structures and algorithms, evidenced by competitive programming training and LeetCode/GeeksforGeeks achievements.
Exposure to full-stack development concepts (React frontend, REST APIs) which is beneficial for deploying AI solutions.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Yaseen Basha Shaik

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit