About Me
Computer Science undergraduate specializing in AI ML with hands-on experience in Machine Learning, Generative AI, NLP, LLMs, Agentic AI, and Software Development. Skilled in Python, Java, TypeScript, SQL, PyTorch, Huggin…
Computer Science undergraduate specializing in AI ML with hands-on experience in Machine Learning, Generative AI, NLP, LLMs, Agentic AI, and Software Development. Skilled in Python, Java, TypeScript, SQL, PyTorch, Hugging Face, LangChain, and RAG, with experience building end-to-end AI solutions through internships and projects. Seeking opportunities to apply my skills in building scalable, production ready AI solutions while continuously expanding my expertise in Machine Learning, Generative AI, advanced LLMs, and AI agent development.
Experience
Generative AI Intern
<p>Engineered AI-powered HR dashboards using TypeScript and DeepSeek LLM to analyze user interactions, understand context aware responses, and generate personalized reports based on user consent.</p><p> Built intelligent prompt response workflows leveraging Generative AI and NLP to automate report generation, response summarization, and HR insights with improved accuracy and relevance.</p><p> Enhanced HR process automation by developing scalable AI workflows for data interpretation, dynamic report generation, and actionable analytics, delivering a more efficient and user centric reporting experience.</p>
AI Agent Architect Trainee
<p>Designed, developed, and deployed AI powered agents using Generative AI and multi agent architectures to automate intelligent workflows and solve real-world business problems.</p><p> Built scalable AI automation pipelines by integrating LLMs, agent orchestration, and contextual reasoning to improve process efficiency and intelligent decision making.</p><p> Delivered production ready AI solutions by collaborating on end-to-end agent design, workflow automation, and deployment, enabling reliable and scalable task execution.</p>
Machine Learning Intern
<p>Applied Machine Learning techniques to real world datasets, including data preprocessing, feature engineering, supervised and unsupervised learning, and predictive modeling.</p><p> Built end-to-end ML solutions using Python, Scikit learn, Pandas, and NumPy, implementing classification, regression, clustering, and model evaluation techniques.</p><p> Optimized machine learning models through project based development, improving predictive performance and gaining hands on experience in real world AI applications.</p>