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<pclass="summary">Senior NLP Engineer and Generative AI Specialist with <strong>4+ years of production-level experience</strong> in developing and deploying Large Language Models, advanced RAG systems, and enterprise-grade generative AI applications. Expert in applying NLP techniques including text classification, summarization, information retrieval, knowledge extraction, and conversational AI using both traditional ML and generative AI approaches. Proven expertise in LLM fine-tuning, VDB optimization, prompt engineering, and scaling AI solutions on cloud infrastructure. Strong background in analyzing large-scale datasets and developing end-to-end ML/DL pipelines from conception to production deployment.</p>
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<h2>PROFESSIONAL EXPERIENCE</h2>
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<divclass="company"><strong>Maharashtra Knowledge Corporation Limited</strong> | Aug 2021 - Present</div>
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<divclass="role-title">Senior Porject Associate -2 | Generative AI & NLP</div>
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<spanclass="date">Aug 2024 - Present</span>
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<ul>
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<li>Lead architect for <strong>enterprise-grade generative AI applications</strong>, implementing advanced RAG systems with optimized vector databases (Pinecone, ChromaDB) and custom LLM fine-tuning pipelines achieving 35% improvement in user engagement</li>
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<li>Developed and deployed <strong>production-level conversational AI chatbots</strong> using transformer architectures (BERT, GPT, T5) with semantic matching algorithms to intelligently recommend 250+ courses through natural language understanding of candidate profiles</li>
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<li>Designed <strong>enterprise search solutions</strong> leveraging retrieval-augmented generation for knowledge base querying, enabling data-driven insights for investors and stakeholders</li>
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<li>Built <strong>custom prompt engineering frameworks</strong> and implemented LLM evaluation metrics, reducing inference latency by 40% while maintaining output quality</li>
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<li>Led cross-functional AI initiatives integrating NLP-driven sentiment analysis and intent classification to support business development and customer acquisition strategies</li>
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</ul>
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<divclass="role-title">Senior Project Associate -1 | Worked on NLP & Document Intelligence</div>
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<spanclass="date">Aug 2023 - Jul 2024</span>
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<li><strong>Architected AI-Powered Marksheet Verification System</strong>: End-to-end NLP solution processing 100,000+ documents with 94% accuracy using transformer-based classification models
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<ulstyle="margin-top: 3px;">
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<li>Implemented intelligent OCR with <strong>Named Entity Recognition (NER)</strong> for automatic extraction and structuring of student data, grades, and institutional information</li>
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<li>Built <strong>semantic similarity validation system</strong> cross-referencing extracted data against official university records with automated anomaly detection</li>
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<li>Designed natural language query interface for flexible result generation and reporting</li>
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</li>
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<li>Engineered <strong>multi-modal document understanding pipeline</strong> combining computer vision (LayoutLM) and NLP for certificate authentication, text extraction, and security feature detection</li>
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<li>Developed production-ready <strong>information extraction systems</strong> for structured data parsing from unstructured educational documents at scale</li>
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<li>Implemented face recognition and liveness detection systems using deep learning for enhanced authentication security</li>
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<divclass="role-title">Project Associate | Worked on Natural Language Understanding (NLU) and Document Extraction</div>
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<spanclass="date">Aug 2022 - Jul 2023</span>
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<li><strong>Built Autonomous Log Analyzer & Incident Predictor</strong>: Offline, open-source AI system for intelligent log analysis and proactive issue prediction
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<li>Developed <strong>log parsing and normalization engine</strong> handling both structured (JSON) and unstructured (text) formats with robust data cleaning pipeline</li>
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<li>Implemented <strong>unsupervised anomaly detection</strong> using clustering algorithms and statistical methods for real-time issue identification</li>
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<li>Integrated <strong>local LLMs (Llama, GPT4All)</strong> for log summarization and natural language explanation generation without external API dependencies</li>
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<li>Created feedback loop mechanism enabling continuous model improvement through user interactions</li>
<li>Designed and trained <strong>transformer-based models</strong> (BERT, DistilBERT, RoBERTa) for text classification, question answering, and business forecasting applications</li>
<li>Deployed production NLP models to <strong>AWS and Azure cloud infrastructure</strong> using Docker containers and CI/CD practices, ensuring 99.9% uptime and efficient resource utilization</li>
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</ul>
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<divclass="role-title">Project Trainee | Worked on NLP & Analytics</div>
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<spanclass="date">Aug 2021 - Jul 2022</span>
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<li>Developed <strong>sentiment analysis and text classification models</strong> using BERT and DistilBERT for analyzing 50,000+ user feedback samples, providing actionable insights for UX improvements</li>
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<li>Built <strong>automated text analytics workflows</strong> generating comprehensive NLP-driven reports on user engagement patterns, content trends, and behavioral analysis</li>
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<li>Implemented <strong>multilingual text extraction systems</strong> using Tesseract OCR with language detection models for ID verification applications</li>
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<li>Applied <strong>topic modeling (LDA) and semantic analysis</strong> to educational content, improving recommendation system accuracy by 28%</li>
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<li>Developed data scraping architectures to extract and organize information from external sources for generating business insights</li>
<h3>Bachelor of Engineering - Electronics and Telecommunication</h3>
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<spanclass="date">Graduated June 2021</span>
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</div>
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<divclass="company">University of Mumbai | CGPI: 7.49</div>
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<pstyle="margin-top: 8px;"><strong>Copyright Registration (2023)</strong> - Programs for Sentiment Analysis and NLP Tasks</p>
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<h2>KEY ACHIEVEMENTS</h2>
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<divclass="achievement-item">4+ years specialized experience in NLP, ML, DL with 1+ year in production-level generative AI application development</div>
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<divclass="achievement-item">Successfully deployed enterprise-grade LLM applications and RAG systems serving 100,000+ users with 99.9% uptime</div>
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<divclass="achievement-item">Deep theoretical and hands-on expertise in NLU, NLP, NLG, and state-of-the-art transformer architectures</div>
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<divclass="achievement-item">Proven ability in developing end-to-end NLP/ML/DL/GenAI solutions with focus on data quality, scalability, and deployment best practices</div>
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<divclass="achievement-item">Experience analyzing large-scale user-generated content and process data in cloud environments</div>
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<divclass="achievement-item">Strong communication skills with ability to convey complex technical concepts to diverse stakeholders</div>
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