Abhishek Nandlal Nishad
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in Machine Learning & Deep Learning
Detail-oriented AI / ML Engineer with a BSc in Information Technology (CGPA 8.08) and hands-on experience building production-grade machine learning, deep learning, and NLP applications. Holds Data Science and Microsoft Azure AI-900 certifications and has demonstrated expertise across the full ML lifecycle - from data preprocessing and model development to Streamlit deployment. Successfully completed 2-month Full Stack Developer Internship at PremitiveKey. Passionate about Generative AI, LLMs, and RAG systems, with a track record of delivering impactful, data-driven solutions.
Mulund College of Commerce (Autonomous)
Bachelor of Science · Information Technology
August 1, 2022 – June 30, 2025
PremitiveKey
Full Stack Developer Intern
April 1, 2026 – June 1, 2026
Mumbai, Maharashtra, India
Movie Recommendation System
June 1, 2026 – June 1, 2026
Built a content-based filtering recommendation engine using cosine similarity on movie metadata to surface top-5 personalized picks. Integrated the TMDB API to enrich results with live movie posters, enhancing visual UX within the Streamlit interface. Deployed a streamlit website for real-time recommendations.
View ProjectBrain Tumor Classification App
June 1, 2026 – June 1, 2026
Engineered a deep learning application using a fine-tuned VGG16 CNN model to classify MRI brain scans into 4 tumor categories with high accuracy. Implemented grayscale preprocessing, data augmentation pipelines, and per-class prediction probabilities for transparent model output. Deployed a real-time Streamlit web app enabling clinicians to upload MRI scans and receive instant classification results.
View ProjectEmail / SMS Spam Classification App
June 1, 2026 – June 1, 2026
Designed an end-to-end NLP pipeline: data cleaning, tokenization, stop-word removal, stemming, and TF-IDF vectorization. Trained and evaluated multiple classification models; deployed the best-performing model via Streamlit for real-time spam detection. Improved message security by automatically flagging malicious and unwanted communications with high precision.
View ProjectAzure AI Fundamentals (AI-900)
Microsoft Certified
June 1, 2026 – Present
Power Platform Fundamentals
Microsoft Certified
June 1, 2026 – Present
Data Science Mentorship Program (DSMP) 2.0
CampusX
November 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a proactive and self-driven approach to learning and applying AI/ML concepts, which is a positive indicator for cultural fit in an innovative environment. The diversity of projects (recommendation, image classification, NLP) shows a broad interest within AI. The internship, though short, indicates exposure to a professional development setting. The target role of 'AI Engineer' aligns well with the candidate's demonstrated project work and stated interests.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently on end-to-end solutions, from data preprocessing to deployment. The internship experience suggests collaboration within an engineering team and adherence to software engineering best practices like code review and version control. However, without specific assessment data, detailed insights into logical reasoning, work attitude, stress handling, or team collaboration are limited.