Vedhas Pandit

+ Face-of-the-company responsibility for the BMBF-funded multipartner 6G-ANNA project: https://6g-anna.de/#konsortium + Achieved first place in the multiobjective optimization challenge during a 6G-ANNA workshop, outperforming attendees from industry-leading organizations such as Nokia, Ericsson, Fraunhofer, and TUM. + Initiated a strategic partnership with a cutting-edge startup in security solutions for integration of ML into their physical layer security solutions, benefit from mutual expertise

+ Enhanced the performance of Reinforcement Learning (RL)-based agents/models for optimizing Radio Access Network (RAN) Capacity-Coverage in 5G/6G networks, achieving up to a tenfold improvement through innovative features and methodologies. + Initiated "Introduction to Deep Learning" lecture series, employing intuitive examples explaining neural network concepts, from basic perceptrons to advanced architectures like LSTM/GRUs and CNNs, fostering understanding and interest among colleagues

Working for this thriving startup since its inception through its literal thick and thin has given me an opportunity to take on the roles going well beyond the job-title. Please feel free to ask the specifics (word limit here). * Product owner/lead Bridged gap between C-level and development team, worked to set the right team culture, steered the project development * Innovator * Developer * Only entrusted member of the hiring team with technical skills * Company representative at KI4ME roadshow

Funded by EC-Horizon 2020 project grant SEWA. Authored book chapters, articles in the top-tier journals and conferences, inventions such as the Pandit-Plot, theorems in stats and maths. model topologies e.g., explainable shallowest-possible CNN recognising emotions from a video, deep learning models performing well over the challenge baseline. Invited reviewer for many top-tier journals and conferences, such as IEEE-TNNLS, IEEE-Cybernetics, IEEE-TAFFC, IEEE-SPL, Elsevier CSL, ICASSP, INTERSPEECH, TISMIR.

Broadly speaking: Computational Models for music discovery, music information retrieval

Responsibilities: • As Design Engineer (DE) for 2 major projects and milestones: • As RTL owner (Face-of-the-team role) for 4 major projects and milestones Achievements: • Deliverd quality collaterals for both roles timely meeting project milestones. • Enabled colleagues to meet their targets by providing necessary help in their flows e.g. FEV, RV etc. ensuring team progress.

Intelligent Audio Analysis (Music Information Retrieval and Speech-based Emotion Recognition) Project details: www.sewaproject.eu Supervisor: Prof.Dr. habil. Björn W. Schuller (www.schuller.it)

* Dissertation titled "Cost-Effective Integrated Wireless Monitoring of Wafer Cleanliness Using SOI Technology" * Worked as a funded Graduate Research Assistant for five semesters.

CGPA 7.53/10 Activities and Societies: Third place at National level Robotics Competition “Instru-Fiesta 2005”. Chief Editor of a Section of Magazine “Vibhav” by Electrical Dept. of COEP. Member of the script-writing team of COEP for a State-level drama competition.