AI Engineer with 1+ years in NLP & LLMs
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated AI/ML Intern with 1.0 years of experience in developing and deploying end-to-end machine learning solutions. Proficient in Natural Language Processing (NLP), Large Language Models (LLMs), and deep learning frameworks. Skilled in building real-time sentiment analysis portals, resume parsers, and document Q&A systems. Eager to contribute expertise to innovative AI projects and drive operational efficiency.
MGM College of Engineering and Technology, Kamothe
B.E. · Computer Engineering
August 1, 2022 – June 30, 2026
Prudent Infotech
LLM Intern
April 1, 2026 – Present
Navi Mumbai, Maharashtra, India
Indian Oil Corporation Ltd. (IOCL) Head Office
AI/ML Intern
June 1, 2025 – August 1, 2025
Mumbai, Maharashtra, India
Ganishka Technologies
AI/ML Intern
July 1, 2024 – December 1, 2024
Mumbai, Maharashtra, India
PDF Q&A System using Llama 3.2 & Ollama
June 1, 2026 – Present
Built a document-aware Q&A system that extracts text from any PDF and injects it into a locally running Llama 3.2 model via prompt engineering, enabling the LLM to answer strictly from the uploaded document. Runs fully offline with zero API costs using Ollama — implementing the core concept behind RAG systems without any vector databases or fine-tuning.
Python Programming
Unknown
June 1, 2026 – Present
AZ-900: Microsoft Azure Fundamentals
Unknown
June 1, 2026 – Present
AIML (Artificial Intelligence & Machine Learning)
Unknown
June 1, 2026 – Present
Multi-Source News Synthesizer Using Deep Learning
International Journal of Innovative Research in Technology (IJIRT)
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects and internships across different domains (LLM benchmarking, NLP for news, resume parsing), indicates adaptability and a broad interest in AI applications. Their involvement in college cultural events and social outreach programs suggests a well-rounded individual who can contribute positively to team dynamics and company culture. The target role of AI Engineer aligns well with their demonstrated skills and interests in LLMs and AI infrastructure.
Soft Skills & Operational Fit
The candidate demonstrates leadership and teamwork through roles like Council Member and NSS Leader, indicating strong collaboration and event management skills. Their project descriptions suggest an ability to take initiatives and deliver end-to-end solutions, which aligns with operational effectiveness. The focus on cost-effective alternatives and infrastructure optimization in their current internship also points to a practical, business-oriented mindset.