About
Highly analytical Dual Degree student at IIT Kharagpur, specializing in advanced AI/ML, Natural Language Processing, and Reinforcement Learning. Proven ability to develop and deploy cutting-edge models, integrate complex systems, and leverage data-driven insights to achieve quantifiable outcomes in both corporate and research environments. Seeking to apply expertise in AI/ML engineering to drive innovation and solve complex challenges within a dynamic tech organization.
Work
Kharagpur, West Bengal, India
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Summary
Investigated and advanced Liquid Neural Networks, focusing on temporal adaptability and novel algorithmic advancements for real-time applications.
Highlights
Investigated foundational and architectural principles of Liquid Neural Networks, emphasizing temporal adaptability for dynamic environments.
Modified Liquid Time-constant Networks (LTCs) to improve performance, stability, and efficiency in dynamic environments, enhancing system robustness.
Implemented adaptive learning with feedback mechanisms to enhance behavior in sequential, dynamic, noisy scenarios.
Contributed to research introducing novel algorithmic advancements in liquid networks for real-time applications, pushing the boundaries of AI research.
London, England, UK
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Summary
Led the development of Transformer-based and LLM-driven solutions for semantic meaning extraction and natural language processing tasks.
Highlights
Built Transformer-based (BERT) and TF-IDF models to extract semantic meaning from diverse unstructured textual data, enhancing data analysis capabilities.
Fine-tuned Large Language Models (LLMs) for domain-specific Natural Language Processing (NLP) inference and classification, improving model accuracy.
Designed robust and secure REST APIs using FastAPI, validating model endpoints and optimizing for latency, scalability, and deployment efficiency.
Developed Sentiment Analysis, Attention Mechanisms, and semantic embeddings utilizing real-world datasets with annotated labels for enhanced model performance.
Nilai, Negeri Sembilan, Malaysia
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Summary
Selected for an international research program focused on Hybrid Renewable Energy Systems (HRES) design, performance modeling, and optimization.
Highlights
Conducted detailed simulations and system optimization using HOMER Pro to evaluate cost-effective hybrid configurations, identifying optimal energy solutions.
Explored advanced integration of Reinforcement Learning algorithms for optimizing component selection and operational cost in HRES, enhancing system efficiency.
Analyzed diverse real-world energy data to assess feasibility, storage needs, and environmental performance of HRES models, informing strategic decisions.
Education
Awards
State Level Science & Chemistry Aptitude Tests
Awarded By
State Level Authority
Achieved 4-time Rank Holder status (2018, 2019, 2020, 2022), consistently placing in the top 2% among participants.
Super30 State Level Examination
Awarded By
Government-funded JEE Coaching Program
Ranked 26th among 5,000+ candidates for a highly competitive, government-funded JEE coaching program.
State Chemistry Quiz Competition
Awarded By
Tripura State Level Competition
Secured 3rd position among 200+ participants in a Tripura State level competition.
Languages
English
Skills
Programming Languages
Python, C++, C, SQL, MATLAB.
Machine Learning & Deep Learning
Supervised Learning, Unsupervised Learning, Computer Vision, NLP, Transformers, LLMs, Reinforcement Learning, Liquid Neural Networks, LTCs, Sentiment Analysis, Attention Mechanisms, Semantic Embeddings.
Generative AI
GenAI, Prompt Engineering, RAG, LangChain, Gemini API.
Frameworks & Libraries
TensorFlow, Keras, PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib, Seaborn, FAISS, FastAPI, Random Forest, MMM, LightGBM, XGBoost, ARIMA.
Tools & Platforms
Git, GitHub, Docker, Jupyter Notebook, Google Colab, Kaggle, VS Code, HOMER Pro, SHAP, LIME.
Data Analytics & Strategy
Data-driven Insights, Predictive Modeling, Adstock Transformation, KPI Tracking, Customer Engagement Analysis, Market Trends Analysis, Financial Text Summarization, Real-time APIs, Feature Engineering.