Saraf Kouashik

Saraf Kouashik

AI/ML Engineer & Data Scientist

Transforming data into intelligent solutions with machine learning and computer vision

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About Me

Motivated and detail-oriented B.Tech graduate in Computer Science with AI/ML specialization. I have a strong foundation in machine learning, computer vision, and data analysis. Proficient in Python, Java, and modern ML frameworks with hands-on project experience. I'm passionate about applying analytical, problem-solving, and programming skills to develop scalable AI/ML solutions and contribute to innovative projects that make a real impact.

Technical Skills

Programming Languages

Python Java C R

ML/AI Frameworks

TensorFlow Keras Scikit-Learn OpenCV NumPy Pandas

Data Visualization

Matplotlib Seaborn

Web & Database

HTML CSS JavaScript SQL PL/SQL

Tools & Platforms

Git Jupyter Notebook Google Colab

Featured Projects

Glaucoma Eye Disease Detection

Developed a machine learning model to detect Glaucoma from eye images, improving early diagnosis accuracy and supporting ophthalmic healthcare with automated screening capabilities.

Object Recognition ML System

Implemented and optimized ML algorithms for object recognition and classification, achieving higher accuracy on benchmark datasets through advanced computer vision techniques.

Blockchain Crime Evidence System

Designed and deployed a secure system to manage and store crime evidence using blockchain and IPFS, ensuring immutable and tamper-proof records for law enforcement.

Insurance Premium Predictor

Built a regression-based ML model to predict health insurance premiums from demographic and lifestyle data, enabling more accurate cost estimation for insurance providers.

Education & Achievements

B.Tech in Computer Science & Engineering

Malla Reddy University, Hyderabad

Specialization in AI/ML | CGPA: 8.05/10 | 2021 - 2025

Certificates & Achievements

First Prize - GRIET Hackathon

Secured first place in hackathon conducted by GRIET-Hyderabad

Coursera Certifications

Exploratory Data Analysis for ML • Data Analysis with R • Introduction to AI (IBM)

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Core Strengths

Problem Solving Adaptability Leadership Teamwork Communication