Career Boosting Session for Students of CSE (AI & ML)
On the 26th of February 2026, a dedicated Career Boosting Session was organized for the Third Year (TE) and Final Year (BE) students of the Computer Science and Engineering – Artificial Intelligence & Machine Learning (CSE-AIML) program. The session was conducted by Gurudev Ramesh Murkar, Senior Software Engineer and Full Stack Developer from Turturlmint Fintech Blue Solution, Pune, who shared industry insights, practical guidance, and strategies for professional growth.
2. Key Objectives
- Career Readiness: To help students transition from academia to industry by enhancing their technical and soft skills.
- Networking & Professional Development: Guide students on how to build a professional network, both online and offline.
- Leveraging Digital Tools: Introduce students to digital platforms that can boost their employability, such as LinkedIn, GitHub, and MadamMail.
3. Key Takeaways
- Personal Branding and Online Presence:
Emphasized the importance of creating a professional online identity, focusing on LinkedIn profiles, portfolios, and personal websites. - Skillset and Certifications:
Discussed industry-relevant skills in AI/ML, data science, and software development. Recommendations were made for key certifications and online courses to help students stand out in the job market. - Networking and Industry Interaction:
Techniques for networking, both virtually and physically (through platforms like LinkedIn, GitHub, and tech meetups), were covered. Real-world examples were given on how networking directly impacts career opportunities. - Digital Tools for Career Growth:
Showcased MadamMail for building email marketing campaigns and maintaining professional communications. Tools like GitHub were recommended for showcasing project work, and Google Analytics was discussed for career growth in data-driven roles.
4. Student Engagement
- TE (3rd Year) Attendees: 27
- BE (Final Year) Attendees: 6
The students were highly engaged, asking questions on skill development, job market trends, and industry expectations.
