Highly skilled AI & Generative AI Engineer with expertise in Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), and scalable deep learning model deployment. Proven ability to translate complex business challenges into efficient, AI-driven solutions leveraging modern cloud architectures. Passionate about applying cutting-edge technologies to drive significant productivity gains and operational efficiencies.
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Summary
Led end-to-end digitalization and automation initiatives in supply chain and logistics, leveraging Power Automate, Power BI, Power Apps, Azure Databricks, PySpark, and Python. Designed and deployed low-code solutions and integrated Copilot Studio and conversational AI tools, actively exploring Retrieval-Augmented Generation (RAG) workflows for scalable internal knowledge systems, contributing to measurable reduction of 2000+ manual work hours.
Highlights
Spearheaded end-to-end digitalization and automation initiatives across supply chain and logistics, leveraging Power Automate, Power BI, Power Apps, Azure Databricks, PySpark, and Python.
Designed and deployed low-code solutions, integrating Copilot Studio and conversational AI tools to enhance internal knowledge systems.
Explored and implemented Retrieval-Augmented Generation (RAG) workflows, resulting in a measurable reduction of over 2000 manual work hours.
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Summary
Conducted research on poultry farming datasets, identifying key parameters affecting growth and diseases. Proposed GenAI-based approaches for proactive disease prevention via conversational agents. Applied data visualization, machine learning, and deep learning models to develop optimal solutions.
Highlights
Conducted comprehensive research on poultry farming datasets, identifying critical parameters impacting growth and disease prevalence.
Proposed innovative GenAI-based approaches for proactive disease prevention, leveraging conversational agents for scalable solutions.
Applied advanced data visualization, machine learning, and deep learning models to develop and optimize disease prevention strategies.
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Summary
Worked on Identity and Access Management (IDAM), vulnerability assessments, and securing the company intranet. Focused on aligning security protocols with operational efficiency goals.
Highlights
Contributed to Identity and Access Management (IDAM) initiatives, enhancing security protocols and user access controls.
Performed comprehensive vulnerability assessments to identify and mitigate risks across the company intranet.
Ensured alignment of security protocols with overarching operational efficiency goals, strengthening the organization's cybersecurity posture.
Senior Core Member
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Summary
Actively contributed as a senior core member to various club activities and projects, supporting the organization's mission.
Highlights
Played a pivotal role in organizing and executing key club events and projects.
Mentored junior members, contributing to their development and engagement within the club.
Collaborated on strategic planning, ensuring alignment with the club's objectives and community impact goals.
Senior Core Member
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Summary
Engaged as a senior core member in environmental conservation and awareness activities.
Highlights
Participated in and led various environmental conservation projects and awareness campaigns.
Contributed to the planning and execution of club initiatives aimed at promoting sustainability.
Fostered a greater appreciation for nature among peers through educational activities and outdoor events.
Regional Head
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Summary
Led regional initiatives and outreach programs for a non-governmental organization focused on social awareness and support.
Highlights
Spearheaded regional campaigns and initiatives, significantly increasing public awareness and engagement.
Managed and coordinated volunteer teams, fostering a collaborative and impactful environment.
Developed and executed strategies for community outreach and support, enhancing the NGO's local presence.
Awarded By
LeetCode
Solved over 170 problems on LeetCode, demonstrating strong algorithmic and data structure proficiency.
Awarded By
IIT-G
Completed an intensive analytics program at IIT-G, enhancing data science and analytical skills.
Awarded By
DigitalOcean
Successfully contributed to open-source projects as part of the global Hacktoberfest challenge.
Awarded By
Participated and recognized in Google's global open-source program for pre-university students.
Fluent
Python, SQL, R, C++.
TensorFlow, Keras, PyTorch, Scikit-learn, Transformers, Recommender Systems, Natural Language Processing (NLP), Deep Learning.
Transformer models, Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain.
Azure, AWS.
Databricks, PySpark, Feature Engineering, MySQL, PostgreSQL, MongoDB.
Git, REST APIs, Basic containerization, System Design Fundamentals.
Jupyter, Power BI, Matplotlib.
Statistics, Data Structures & Algorithms, MATLAB.
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Summary
Evaluated deep learning models (CNNs, ResNet, EfficientNet, Transformers) using TensorFlow and Keras for deepfake detection. Optimized for real-time deployment balancing F1 score and computational efficiency. Developed a web app for instant authenticity checks and conveyed results to stakeholders using visualizations.
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Summary
Built a hybrid recommendation engine combining collaborative and content-based filtering using Python and NLP methods. Integrated semantic search and embedding techniques aligned with Retrieval-Augmented Generation (RAG) workflows. Deployed using Streamlit for interactive use.