Data Science with 2+ years in AI/ML & Python
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A highly motivated Mid-level Data Science Engineer with 2.1 years of experience in Machine Learning and Deep Learning. Proven ability to develop and optimize AI/ML models, deploy scalable AI solutions, and drive data-driven decisions. Proficient in Python, TensorFlow, PyTorch, and cloud platforms like Azure and AWS.
University of Mumbai
Bachelor of Engineering · Computer Science and Engineering (AI and ML)
August 1, 2022 – June 30, 2026
MAK {Byte}
AI/ML Engineer
October 1, 2025 – Present
India
Wow Infobiz
Machine Learning Engineer
August 15, 2024 – December 15, 2025
India
Diabetes Prediction System
June 24, 2026 – Present
Built a Diabetes Prediction System using Python, scikit-learn, and XGBoost, achieving 88-92% accuracy through feature engineering and hyperparameter tuning. Performed EDA and preprocessing on 10K+ patient records using pandas, NumPy, improving model performance by 18% over baseline Logistic Regression.
View ProjectRAG Based AI Chat Bot
June 24, 2026 – Present
Built a RAG-based AI Chatbot using LLMs (OpenAI/Llama), LangChain, and FAISS, enabling context-aware responses with 85%+ retrieval accuracy across 10K+ documents. Implemented document ingestion, chunking, and vector embeddings using Python, Hugging Face, and Sentence Transformers, reducing hallucinations by 30%.
View ProjectSmart Attendance System – Face Recognition & Liveness Detection
June 24, 2026 – Present
Built an AI-powered Smart Attendance System using Face Recognition, CNN-based Anti-Spoofing, and Liveness Detection, preventing proxy attendance with 95%+ verification accuracy. Developed real-time face verification pipelines using OpenCV & MediaPipe, implementing blink and head-movement detection with <300ms response time.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in AI/ML through both professional experience and personal projects, indicating alignment with an innovation-driven culture. The diversity of projects (prediction systems, chatbots, attendance systems) shows adaptability and a broad application of skills. The current enrollment in a Bachelor's degree suggests a continuous learning mindset. However, the limited professional experience (still pursuing a bachelor's degree) might indicate a need for mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (e.g., reducing hallucinations, preventing proxy attendance) and an ability to work with diverse datasets. The experience in deploying ML applications suggests an understanding of operationalizing models. However, without specific psychometric or English test scores, a detailed assessment of communication, logical reasoning, stress handling, and team collaboration is not possible.