teaching

AI/ML Mentor — Talentsprint - Part of Accenture

May 2024 – Present

I mentor industry professionals enrolled in TalentSprint’s AI/ML certification programs. My role focuses on translating theory into practice and helping learners build deployable AI solutions. My responsibilities include:

  • Teaching core concepts in machine learning, deep learning, and natural language processing
  • Conducting hands-on coding sessions with real-world examples
  • Guiding teams through end-to-end capstone projects, from problem formulation to evaluation
  • Assisting with project scoping, debugging, and deployment workflows
  • Supporting professionals transitioning into applied AI and ML roles

AI/ML Instructor — Student Training Program on AI/ML

iHub-Data · IIIT Hyderabad

Sep 2025 – Present

I serve as an AI/ML Instructor for the Student Training Program on AI/ML, a 24-week, hands-on weekend program designed for undergraduate engineering students from AICTE-affiliated technical institutions. The program is conducted at iHub-Data, an initiative supported by the Government of India.

Key aspects of my role include:

  • Delivering beginner-friendly lectures covering AI/ML fundamentals, with an emphasis on intuition and real-world relevance
  • Designing and conducting hands-on tutorials to reinforce theoretical concepts
  • Guiding students through practical assignments and continuous evaluation (no final exam)
  • Supporting students via community discussions and mentoring sessions
  • Helping students prepare for internships and applied AI roles

Teaching Assistant — IIIT Hyderabad

  • Aug 2023 – Sep 2025*

I work with the IoT and Embedded Systems teams at IIIT Hyderabad, supporting both undergraduate and postgraduate courses through hands-on instruction and lab coordination. My responsibilities include:

  • Implementing computer vision and machine learning models on Qualcomm QIDK platforms
  • Assisting students in deploying AI applications on Snapdragon-based systems
  • Conducting lab sessions on embedded systems, sensor integration, and edge AI
  • Guiding students through real-world IoT and embedded AI projects
  • Teaching practical aspects of mobile processor architecture, system constraints, and deployment challenges

This role has strengthened my ability to bridge theoretical concepts with system-level implementation on resource-constrained hardware.

Teaching Assistant — Rural Engineering Outreach

Jan 2023 – Aug 2023

As part of a rural engineering outreach initiative at Kakinada Institute of Engineering and Technology, I worked with final-year B.Tech students to strengthen their foundations in IoT. My work involved:

  • Teaching IoT fundamentals to students with diverse technical backgrounds
  • Designing introductory learning material for students new to IoT concepts
  • Conducting online sessions focused on IoT protocols and applications
  • Adapting content delivery to suit varying levels of prior exposure

Across these roles, I emphasize practical learning, clarity of explanation, and real-world context. Teaching has helped me refine my ability to communicate complex technical ideas clearly and work effectively with learners from diverse backgrounds—skills that directly complement my work as a PhD researcher in applied and system-aware AI.