Jan 2025 – Present · 1 yr 5 mos · New South Wales, Australia · Remote

• Delivered a live 2-hour webinar on "AI Essentials for Educators", organized by E&ICT Academy, IIT Kanpur, empowering educators with AI fundamentals, applications, and skilling pathways.
• Engaged with faculty members and professionals, providing practical insights into AI integration in academia.
• Contributed to curriculum design and program execution to enhance AI literacy among educators and administrators.

Nov 2023 – Apr 2025 · 1 yr 5 mos · Tamil Nadu, India · Hybrid

• Conducted AI & Machine Learning training programs for students and faculty at reputed institutions across Bangalore, Hyderabad, and Trichy.
• Mentored student projects for institutional clients, guiding teams in AI-based applications, including:
• AI-Enhanced Chatbots
• Suspicious Activity Detection
• AI-Powered Language Translation & Interpretation
• Fraud Detection in Online Transactions
• AI-Based Wildlife Conservation Monitoring
• Provided technical mentorship for additional AI-driven student projects, covering areas like customer feedback analysis, elderly care AI, mental health detection, medical diagnostics, and sports analytics.
• Led DevOps & ML training sessions (starting September 2024 in Trichy) and AI Application Development with GenAI training (starting February 2025 in Tiruchirapalli).

Jun 2023 – Mar 2024 · 9 mos · India · On-site

• Conducted **AI training in collaboration with E-Cell, IIT Kharagpur**, mentoring students from **B.Tech (ECE & CS), B.Pharm, M.Pharm, and Ph.D. (Pharma)** from institutions like **NIPER Kolkata and CIT Mandya** on **AI applications in pharmaceutical research and healthcare**.
• Designed and delivered a **structured AI training program**, covering:
• Introduction to AI & its applications in Pharma**
• Machine Learning fundamentals**
• AI-driven drug discovery, personalized medicine, and clinical trial optimization**
• Hands-on AI tools for drug research and development**
• Case studies on successful AI-driven drug discovery projects**
• Group projects: Designing hypothetical AI-driven drug discovery solutions**
• Conducted **interactive workshops and hackathons** to foster interdisciplinary collaboration between technology and pharma students.
• Provided **career mentorship**, equipping students with AI skills for research, academia, and industry roles in pharmaceutical innovation.

Apr 2023 – May 2025 · 2 yrs 1 mo · Bengaluru, Karnataka, India · Hybrid

• Developed AI-driven classification models to automate Salesforce technical query categorization, reducing manual workload and improving operational efficiency.
• Led an NLP-based project, guiding the team on Azure Synapse setup and integration with Azure ML pipelines for scalable AI workflows.
• Built an MVP for a Generative AI-powered document chat solution (PaaS/IaaS) to enable conversational AI-driven document interaction.
• Developed an enterprise-grade AI application leveraging Azure OpenAI and Cognitive Search, significantly enhancing document retrieval accuracy and relevance.
• Optimized AI pipelines and cloud infrastructure, ensuring scalability, security, and cost efficiency for enterprise AI solutions.

Jan 2023 – Apr 2023 · 3 mos · Bengaluru, Karnataka, India · Hybrid

• Led the India implementation of the "Train the Trainers and the Future Workforce of AI" initiative in partnership with a large US-based company, equipping educators and students throughout India with AI skills for real-world applications.
• Trained university faculty, industry professionals, and students to integrate AI into their curricula and careers.
• Designed and delivered an industry-aligned AI curriculum, covering:
• Fundamentals of AI & Machine Learning
• AI applications in various industries
• Responsible AI & ethical considerations
• Hands-on training with AI tools & platforms
• Project-based learning for practical AI applications
• Mentored participants in capstone projects, guiding them to apply AI in research, industry, and entrepreneurship.
• Collaborated with academia and industry leaders to bridge the AI skill gap and create a future-ready AI workforce in India.

Jan 2022 – Dec 2022 · 11 mos · Bengaluru, Karnataka, India · Hybrid

• Developed AI-driven models for yield prediction and farm score calculation to assist farmers in improving productivity and decision-making.
• Built and optimized models using Random Forest, Decision Tree, and Convolutional Neural Networks (CNN) for accurate crop yield forecasting.
• Engineered farm score metrics based on soil quality, weather conditions, and farming practices to assess and improve agricultural efficiency.
• Integrated AI models with real-world farm data, ensuring practical and scalable solutions for precision agriculture.
• Enhanced model performance through feature engineering, hyperparameter tuning, and cross-validation, leading to better prediction accuracy.
• Contributed to data-driven decision-making in agriculture, enabling farmers to optimize resource allocation and boost productivity.

Jun 2021 – Dec 2021 · 6 mos · Bengaluru, Karnataka, India · Hybrid

• Developed an interactive GUI using ReactJS, enhancing the user experience for cloud-native orchestration and automation solutions.
• Designed and implemented a CI/CD pipeline to automate module builds and end-to-end (E2E) testing, ensuring seamless and efficient software deployment.
• Created and managed Helm charts to simplify Kubernetes-based application deployment and configuration.
• Optimized frontend performance and improved UI responsiveness through efficient state management and API integrations.
• Collaborated with DevOps and backend teams to ensure smooth integration of UI components with cloud-native infrastructure.

Aug 2020 – Jul 2021 · 11 mos · Bengaluru, Karnataka, India

Jun 2017 – Jul 2017 · 1 mo · Amritsar Area, India · On-site

• Developed and trained chatbot models using Machine Learning, Neural Networks, and Deep Learning to enhance customer interactions.
• Implemented Natural Language Processing (NLP) techniques for intent recognition and response generation.
• Worked with TensorFlow to build and optimize deep learning models for chatbot development.
• Improved chatbot accuracy by fine-tuning neural network architectures and training data preprocessing.
• Gained hands-on experience in AI-driven conversational interfaces and chatbot deployment.

Feb 2016 – Dec 2016 · 10 mos · Amritsar, Punjab, India