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AI Engineer with less than a year in NLP & Deep Learning
I am writing to express my strong interest in joining your team as an AI/ML Engineer. With a Bachelor’s degree in Computer Engineering from MGM College of Engineering and Technology (University of Mumbai, CGPA: 8.0, graduating May 2026), and hands-on industry experience building intelligent systems, I am confident in my ability to contribute meaningfully from day one. During my internship at Indian Oil Corporation Ltd. (Head Office, Mumbai), I developed an AI-powered Negative News Analysis Portal that combined NLP-based sentiment analysis using VADER and BERT, achieving over 90% accuracy. I built an end-to-end automated pipeline covering RSS feed extraction, preprocessing, sentiment scoring, and dashboard integration—reducing manual effort by 60%. This experience gave me practical exposure to deploying transformer-based models in a production environment and understanding their real-world business impact. Beyond my internship, I have independently built several impactful projects. My Resume Parser using NLP (Flask + spaCy + pdfplumber) achieves 90%+ extraction accuracy while reducing manual effort by over 70%. My Intelligent Notes-to-Answer Conversion system leverages Sentence Transformers, FAISS, and instruction-tuned LLMs for semantic retrieval, achieving 90%+ answer relevance and 60% faster response times. I also developed a Product Recommendation System using TF-IDF, Cosine Similarity, and hybrid filtering techniques—each of these projects reflects my ability to take a problem from ideation to a working, measurable solution. My technical stack includes PyTorch, TensorFlow, Scikit-learn, NLTK, Flask, FAISS, and data tools such as NumPy, Pandas, and visualization libraries. I am comfortable working with cloud platforms like Azure and BI tools like Power BI and Tableau. I have strong conceptual grounding in Deep Learning, NLP, RAG, LLMs, CNNs, and classical ML algorithms including XGBoost, KNN, and Naive Bayes. Outside of technical work, my experience as an NSS Lea
MGM College of Engineering and Technology (University of Mumbai)
Bachelor’s degree · Computer Engineering
N/A – June 30, 2026
Resume Parser using NLP
June 27, 2026 – Present
Achieves 90%+ extraction accuracy while reducing manual effort by over 70%.
Intelligent Notes-to-Answer Conversion system
June 27, 2026 – Present
Leverages Sentence Transformers, FAISS, and instruction-tuned LLMs for semantic retrieval, achieving 90%+ answer relevance and 60% faster response times.
Product Recommendation System
June 27, 2026 – Present
Developed using TF-IDF, Cosine Similarity, and hybrid filtering techniques. Reflects ability to take a problem from ideation to a working, measurable solution.
Cultural Fit Analysis
The candidate's involvement in extracurricular activities (NSS Leader, College Council Member) indicates a proactive and collaborative mindset, suggesting a good cultural fit for team-oriented environments. The diversity of personal projects (Resume Parser, Notes-to-Answer, Recommendation System) shows initiative and a problem-solving approach. The target role of AI Engineer aligns well with the candidate's project experience and stated interests in AI/ML. However, the candidate is still pursuing a bachelor's degree, which might indicate a need for mentorship and structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate's experience as an NSS Leader and College Council Member suggests developed leadership, team coordination, and communication skills. The resume indicates a preference for fast-paced, purpose-driven settings and a collaborative spirit, which aligns with dynamic operational environments. However, without specific assessment data, the depth of these soft skills and their operational fit cannot be fully validated.