May 2024 – Jun 2024 · 1 mo · Mumbai, Maharashtra, India

• 🔹 Teaching & Mentoring: Guiding the next generation of AI & DS professionals through comprehensive coursework, hands-on projects, and innovative research opportunities.
• 🔹 Curriculum Development: Contributing to the development of a cutting-edge curriculum that integrates the latest advancements and industry practices in AI & DS.
• 🔹 Industry Collaboration: Facilitating partnerships with leading tech companies and research institutions to provide students with real-world experience and exposure to groundbreaking technologies.
• 🔹 Research Initiatives: Leading and participating in research projects that address critical challenges in AI, machine learning, and data science, aiming to drive impactful solutions and innovations.

May 2024 – Jun 2024 · 1 mo · Pune · Hybrid

• 🌟 Joining the dynamic team at Symbiosis Skills & Professional University, Pune as a Visiting Faculty and Mentor in Artificial Intelligence and Data Science (AI&DS).
• 🚀 Contributing expertise in cutting-edge AI technologies and data science methodologies to empower the next generation of AI professionals.
• 🌐 Collaborating with talented students and industry experts to create innovative AI solutions and drive real-world impact.
• 💡 Designing and delivering engaging lectures, workshops, and hands-on projects to foster a deep understanding of AI&DS concepts.
• 🔍 Mentoring aspiring AI enthusiasts, guiding them through industry-relevant projects and helping them build a strong foundation in AI&DS.
• ✨ Leveraging industry experience and academic insights to inspire students and prepare them for successful careers in AI and data science.
• Excited to embark on this journey of knowledge-sharing and skill development in the vibrant AI&DS ecosystem at Symbiosis Skills & Professional University, Pune!

Apr 2024 – Jan 2025 · 9 mos

• 🚀 Professor of Practice | Guiding PhD Students | AI & Data Science Research
• I am honored to serve as a Professor of Practice at Golden Gate University, where I mentor and guide PhD students in their research journey across Data Analytics, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI.
• My role involves:
• ✅ Helping students formulate impactful research problems
• ✅ Guiding them in developing innovative AI/ML models
• ✅ Enabling them to apply AI to real-world challenges across industries
• ✅ Providing insights into academic publishing, research methodologies, and ethical AI
• By bridging academia and industry, I aim to equip PhD scholars with cutting-edge AI skills and a problem-solving mindset to drive real-world impact.

Aug 2023 – Apr 2024 · 8 mos · Bengaluru, Karnataka, India · On-site

• Passionate Senior Manager of AI Research with a proven track record of driving innovation and delivering impactful AI solutions. With extensive experience in leading cross-functional teams, I am dedicated to advancing the frontiers of artificial intelligence, machine learning, and deep learning technologies. My expertise spans from concept to deployment, enabling organizations to harness the power of AI for strategic growth. I thrive on the challenge of solving complex problems and am committed to shaping the future of AI through research, development, and collaboration with top-tier talents in the field.Committed to advancing the field through strategic leadership, collaboration, and a deep understanding of emerging technologies.

Jun 2021 – Aug 2023 · 2 yrs 2 mos · Bangalore Urban, Karnataka, India · Hybrid

• 1. Understanding Business needs
• 2. Analyzing and interpreting large amounts of data
• 3. Using statistical techniques and machine learning algorithms to find patterns and insights
• 4. solving problems and making predictions based on data
• 5. Building and refining generalized predictive models
• 6. Helping businesses make informed decisions
• 7. Communicating findings and insights to non-technical stakeholders
• 8. Transforming complex data into understandable information
• 9. Spotting important patterns and trends
• 10. Being a "data detective" who uncovers valuable insights
• 11. Guiding decision-making processes using data-driven knowledge

May 2021 – Feb 2024 · 2 yrs 9 mos · India · Remote

• a. Mentoring
• b. Resolving queries of the Students over discussion forum and over emails

Mar 2020 – Sep 2021 · 1 yr 6 mos · Remote

• a. Mentoring calls on thesis topic selection, thesis proposal and on how to conduct research
• b. Resolving queries of the Students over discussion forum and over emails
• c. Evaluating Thesis Proposals,conducting and evaluating a Mid-Thesis viva,evaluating final thesis submissions

Feb 2020 – Feb 2021 · 1 yr · Hyderabad, Telangana

• 1. Conducting training sessions and workshops to educate employees on AIML concepts, techniques, and tools.
• 2. Designing and delivering training programs tailored to the specific needs of the organization.
• 3. Explaining complex AIML concepts in a clear and understandable manner.
• 4. Providing hands-on training and practical exercises
• 5. Demonstrating real-world examples and use cases of AIML applications.
• 6. Assisting employees in understanding and implementing AIML algorithms and models.
• 7. Addressing questions, concerns, and challenges related to AIML.
• 8. Keeping abreast of the latest advancements and trends in AIML and incorporating them into training materials.
• 9. Collaborating with subject matter experts and stakeholders to develop effective AIML training strategies.
• 10. Monitoring and evaluating the progress of employees during and after the training sessions.
• 11. Providing ongoing support and guidance to employees as they apply AIML techniques to their work.
• 12. Updating training materials and content to ensure relevance and effectiveness.
• 13. Contributing to the development of an AIML-focused learning culture within the organization.

Jan 2020 – May 2021 · 1 yr 4 mos · Hyderabad Area, India

• 1. Worked with clients to understand their business requirements and provided customized AIML solutions to meet their needs.
• 2. Conducted research on developing AI models and solutions for various business problems
• 3. Collaborated with cross-functional teams to identify requirements and develop solutions
• 4. Designed and implemented machine learning and deep learning models using Python and TensorFlow
• 5. Conducted experiments and evaluated models for accuracy and performance
• 6. Published research papers in top-tier conferences and journals.

Mar 2018 – Mar 2021 · 3 yrs · Bengaluru, Karnataka

• 1. Guides and supports individuals or teams who are new to AIML.
• 2. Provides guidance on AIML best practices and methodologies.
• 3. Assists in selecting appropriate AIML algorithms and tools for specific projects.
• 4. Helps in understanding and interpreting AIML models and their results.
• 5. Offers feedback and constructive criticism to improve AIML projects.
• 6. Encourages experimentation and exploration in the AIML field.
• 7. Shares personal experiences and lessons learned in AIML projects.
• 8. Provides career advice and helps in professional growth in AIML.

Aug 2013 – May 2018 · 4 yrs 9 mos · Nagpur

• 1. Teaching: Conducting lectures, tutorials, and practical sessions on VLSI and artificial intelligence, machine learning, data science, and related topics.
• 2. Curriculum Development: Designing and updating course syllabi, preparing teaching materials, assignments, and assessments that align with the latest developments in VLSI and AIML.
• 3. Research: Engaging in research activities, including developing new algorithms, exploring cutting-edge VLSI and AI techniques, publishing research papers, and presenting findings at conferences.
• 4. Student Guidance: Mentoring students in their VLSI and AI/ML projects, assisting them in developing practical applications, providing guidance on research methodologies, and supervising their thesis work.
• 5. Industry Collaboration: Establishing collaborations with industries to facilitate internships, industrial projects, and joint research initiatives to bridge the gap between academic learning and industry requirements.
• 6. Stay Updated: Keeping abreast of emerging trends and advancements in VLSI and AIML, attending conferences, workshops, and professional development programs to enhance knowledge and skills.
• 7. Community Engagement: Actively participating in academic committees, organizing seminars, workshops, and VLSI AND AI/ML-related events, and contributing to the academic community through knowledge sharing and collaborations.

Jul 2008 – Jun 2010 · 1 yr 11 mos · Nagpur

• 1. Chip Design: Design Engineers create and develop the overall architecture and layout of integrated circuits (chips) used in electronic devices.
• 2. Specification Analysis: They analyze the specifications provided by clients or product managers to understand the requirements and constraints of the chip design.
• 3. Circuit Design: Design Engineers create the individual circuit blocks that make up the chip, such as logic gates, flip-flops, multiplexers, and adders, using hardware description languages (HDLs) like VHDL or Verilog.
• 4. RTL Coding: They write Register Transfer Level (RTL) code to describe the behavior of the chip at a higher abstraction level, ensuring it meets the functional requirements.
• 5. Verification: Design Engineers perform verification tests to ensure that the RTL code and the designed circuit blocks function correctly and meet the desired specifications.
• 6. Timing Analysis: They conduct timing analysis to ensure that the chip operates within the required speed and timing constraints.
• 7. Synthesis and Optimization: Design Engineers use synthesis tools to convert the RTL code into a gate-level representation, optimizing the design for area, power, and performance.
• 8. Physical Design: They perform physical design tasks, including floor planning, placement, and routing of the circuit elements to create the final layout of the chip.
• 9. Design Rule Checking (DRC): Design Engineers check the layout against design rules and guidelines provided by the fabrication process to ensure manufacturability.
• 10. Tapeout: Once the design is complete, they prepare the design files for manufacturing by creating a tapeout package that contains all the necessary data for chip fabrication.