Jun 2025 – Oct 2025 · 4 mos · Chennai · Remote

May 2025 – Sep 2025 · 4 mos · United States · Remote

• Selected for the prestigious Google Cloud Career Launchpad Program by Mentor Me Collective.
• Engaging in structured learning paths designed to build expertise in Google Cloud technologies.
• Gaining hands-on experience through practical labs and real-world projects.
• Receiving mentorship and guidance from industry experts to prepare for Google Cloud certification.
• Strengthening skills in cloud infrastructure, compute services, networking, and cloud-native development.

Apr 2025 – Jul 2025 · 3 mos · United Kingdom · Remote

• AI Engineer | Riyan Tech, UK
• As an AI Engineer at Riyan Tech, I integrated AI solutions across company websites and developed 8 specialized AI agents for key innovation projects:
• 🔹 Legal Tech AI Platform – Engineered multiple AI agents for a comprehensive legal practice management system, including automated document bundling, compliance checks, risk scoring, client intake assistants, and court calendar sync. Streamlined case handling and reduced manual workload for legal teams.
• 🔹 Shopkeeper AI Project – Built conversational AI agents that assist local shopkeepers in inventory insights, sales predictions, customer queries, and voice-enabled product search. Integrated public APIs for real-time product data and user interaction.
• These projects combined NLP, automation, and data intelligence to enhance productivity and create AI-first experiences for real users.

Mar 2025 – Present · 1 yr 3 mos · Tamil Nadu, India · Hybrid

• Started working on an AI-powered Aquaponics System at Agro Nanba, a startup focused on sustainable farming. My role involves integrating AI, IoT, and data analytics to enhance automation and optimize fish farming and hydroponic plant cultivation. Excited to contribute to this innovative agri-tech project!

Mar 2025 – Mar 2026 · 1 yr · San Francisco, CA · Remote

Feb 2025 – Present · 1 yr 4 mos · Remote

• Machine Learning Lead – MvPI Project, NIMHANS
• Contributing as the Machine Learning Lead for the MvPI (Materiovigilance Programme of India) project at NIMHANS (National Institute of Mental Health and Neurosciences). Responsible for designing and implementing advanced machine learning models to enhance the detection, analysis, and prediction of adverse events related to medical devices. Leading data preprocessing, model development, and validation phases, while ensuring ethical and accurate deployment of AI in healthcare. Collaborating with interdisciplinary teams including medical experts and researchers to drive data-driven insights for improving patient safety and device performance.

Feb 2025 – May 2025 · 3 mos · Remote

Jan 2025 – Feb 2025 · 1 mo · St Louis, Missouri, United States · Remote

• Experience:
• Data Analyst Associate Intern
• Excelerate | Remote | Jan 2025 - Feb 2025
• Key Responsibilities:
• Analyzed user data to derive meaningful insights and support data-driven decision-making.
• Prepared trend analysis to facilitate strategic decision-making for stakeholders.
• Conducted data preprocessing to ensure accuracy, consistency, and reliability.
• Developed interactive dashboards to visualize analytical outcomes and present findings to the team effectively.
• Achievements:
• Successfully completed the internship, certified by Saint Louis University in partnership with Excelerate.
• Enhanced analytical skills by working on real-world data analysis projects.
• Gained hands-on experience in data visualization and effective communication of insights.

Oct 2024 – Jul 2025 · 9 mos · Tamil Nadu, India · Hybrid

• AI/ML Engineer | RBG.AI
• At RBG.AI, I contributed to the development of intelligent video analysis systems using deep learning and computer vision:
• 🔹 Gender & Age Detection – Built and deployed models for identifying gender and estimating age from facial features, supporting both video upload processing and real-time webcam input. Enabled accurate demographic tagging for surveillance and media systems.
• 🔹 Smoke & Fire Detection – Developed AI models to detect smoke and fire in videos with high precision, using CNNs and temporal analysis. Implemented for both offline video uploads and real-time monitoring, enhancing safety and emergency response.
• These projects focused on optimizing model accuracy, reducing inference latency, and integrating seamlessly with front-end video pipelines.

Jul 2024 – Mar 2025 · 8 mos · Online · Hybrid

• Developed multiple AI-powered chatbots from scratch, including custom solutions using Ollama 3.1, Google PaLM, and Gemini APIs.
• Created specialized chatbots such as a Customer Service Bot, ArXiv Research Assistant, and Medical Q&A Chatbot tailored for domain-specific conversations.
• Applied Natural Language Processing (NLP) and LLMs to enable context-aware dialogue, user intent detection, and knowledge base integration.
• Built interactive, user-friendly interfaces and ensured chatbot responsiveness through continuous testing and prompt engineering.
• Gained hands-on experience in model fine-tuning, API integration, and deploying chatbot solutions to real-world use cases.

Jun 2024 – Oct 2024 · 4 mos · Remote

• Throughout this internship, I worked on enhancing my skills in Python, data analysis, and data visualization. One of my key projects involved analyzing a COVID-19 dataset using tools like Pandas, Seaborn, and Matplotlib.
• During these four months, I gained valuable hands-on experience and developed a deeper understanding of data science practices.

Apr 2024 – Present · 2 yrs 2 mos

Apr 2024 – Mar 2025 · 11 mos

Jul 2023 – Present · 2 yrs 11 mos

Apr 2024 – Apr 2025 · 1 yr · Uttar Pradesh, India

Jul 2023 – Present · 2 yrs 11 mos

Jul 2023 – Mar 2026 · 2 yrs 8 mos