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ML Engineer with less than a year in Computer Vision & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML Engineer with practical experience in computer vision, deep learning, NLP, and data analytics through academic projects, internships, and hackathon-based problem solving. Experienced in developing image classification systems, medical AI pipelines, sign language assistance tools, and recommendation-based ML applications using Python, TensorFlow/Keras, OpenCV, Scikit-learn, SQL, and FastAPI. Passionate about building scalable, explainable, and user-focused AI solutions that solve real-world problems.
Shree L.R. Tiwari College of Engineering, Mumbai University
B.E. · Information Technology
N/A – June 30, 2026
Ismail Yusuf College of Arts, Science & Commerce
HSC
N/A – May 31, 2023
Swami Vivekanand High School
SSC
N/A – May 31, 2021
Slash Mark
Machine Learning Intern
December 1, 2024 – January 31, 2025
India
Cognitive Radiology Assistant - AI-Powered Chest X-Ray Report Generation
June 24, 2026 – February 1, 2026
Built a multimodal AI system for chest X-ray report generation by combining medical imaging, clinical indications, pathology prediction, and natural language generation. Implemented pathology classification across 14 chest conditions using a clinically grounded deep learning approach. Added attention-based feature alignment and rule-based safeguards to improve report consistency and reduce hallucinations. Achieved a CheXpert F1 Score of 0.6421, exceeding the hackathon benchmark of 0.500.
View ProjectSign Ease - Sign Language Assistant
June 24, 2026 – April 1, 2026
Developed a sign language assistant for sign-to-text and text-to-sign communication with frontend, backend, authentication, and ML integration. Implemented ORB-based gesture image matching to identify sign language inputs from visual features. Built secure user authentication with email-based OTP password reset functionality. Delivered a working accessibility-focused application aimed at improving real-world communication support.
View ProjectArtificial Intelligence & Machine Learning
iNeuron
June 1, 2026 – Present
Alpha 5.0 - DSA with Java
Apna College
June 1, 2026 – Present
Code Without Barriers - AI Concepts, Azure AI Services, Ethical AI & Microsoft 365 Copilot
Microsoft
June 1, 2026 – Present
Artificial Intelligence & Machine Learning
SAP x Edunet, CSR Initiative
June 1, 2026 – Present
CCNA 200-301 - Network Fundamentals
Cisco
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying AI/ML to solve real-world problems, particularly in accessibility and healthcare, which aligns with a mission-driven culture. Participation in hackathons and competitive events suggests a driven and innovative mindset. The breadth of skills and certifications indicates a continuous learning attitude. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through hackathon achievements and project development. Their ability to convert model-focused tasks into usable applications indicates a practical, user-centric approach. The academic projects and internship show a proactive attitude towards learning and applying new technologies. However, without direct interview data, specific operational fit and collaboration styles are difficult to assess.