Project Manager

• May 2023 - Present

Machine Learning Engineer | Project manager at ECONET Project for Energy-Saving Private 5G SONs | Orchestrating Network Elements with SMO Passionate about the intersection of machine learning, telecommunications, and energy efficiency. Currently spearheading the ECONET project, a groundbreaking initiative aimed at building energy-saving Self-Organizing Networks (SONs) for private 5G deployments. Our vision is to revolutionize the industry by seamlessly integrating these networks into a comprehensive product called SMO (SON Management and Orchestration). Through advanced machine learning algorithms and network optimization techniques, I am focused on developing intelligent solutions that minimize energy consumption, enhance performance, and ensure seamless connectivity in private 5G environments. Collaborating with cross-functional teams, I drive innovation, oversee project milestones, and leverage cutting-edge technologies to deliver exceptional results. Join me on this exciting journey as we reshape the future of wireless communications, leveraging the power of AI and 5G to unlock new possibilities for industries and businesses. #MachineLearningEngineer #Telecommunications #EnergyEfficiency #5G #Innovation #ProjectManagement Show less

Consultant

• Aug 2022 - Dec 2022

To engage with customers and converting business requirements into a solution with data oriented paradigms. Involving strategies to solve challenging problems within the complete spectrum of data pipelines from PoC to deployment. To engage with customers and converting business requirements into a solution with data oriented paradigms. Involving strategies to solve challenging problems within the complete spectrum of data pipelines from PoC to deployment.

Wissenschaftlicher mitarbeiter

• May 2022 - Jul 2022

Research and Development in Embedded software using AI methodologies. Research and Development in Embedded software using AI methodologies.

Wissenschaftlicher Hilfskräft

• Apr 2021 - Jul 2021

Music Mood estimation : Involving Deep learning solutions in music information retrieval to investigate and find solutions to the problem of mood estimation. Models investigated : Short chunk CNNs, Harmonic CNNs, Mobile Net architecture. ML Framework : Keras, tensorflow, kapre and librosa Music Mood estimation : Involving Deep learning solutions in music information retrieval to investigate and find solutions to the problem of mood estimation. Models investigated : Short chunk CNNs, Harmonic CNNs, Mobile Net architecture. ML Framework : Keras, tensorflow, kapre and librosa

Graduate Student

• Oct 2018 - Jul 2021

Wissenschaftlicher Hilfskraft

• Aug 2020 - Nov 2020

Implementation of 2D reconstructions using the Total Focussing Method and Full Matrix Capture and using Machine learning approach and compare with classical implementation of algorithms.- Non destructive testing - Medical imaging - Algorithm unrolling- Deep learning- TensorFlow, Python, numpy and scipy- Detailed understanding of the classical implementation of algorithms like FISTA

Advanced Research Project

• Apr 2020 - Aug 2020

Deep Unfoldings of ISTA with respect to Ultrasound NDT. Machine Learning has shown promising results in the field of general purpose Compressive sensing and sparse deconvolution problems. One of the challenges in the deployment of Deep learning models is that it suffers from Interpretation. The approach investigated tries to look through the lens of interpretation of the models. Involves the Unrolling of the ISTA Algorithm which is widely used to solve Sparse Inverse problems and implement it using a Neural network that learns the hyper-parameters, which have interpretation in Ultrasound NDT problems where we try to find out defects in a crystal / steel in a non-destructive fashion with robustness. Additionally, we decreased the training time for the network (Learning ISTA) to obtain our model parameters. Tasks involved an implementation in tensorflow and use other Python libraries to solve the problems to develop a robust model to appropriately measure errors in the substance under test. Show less

Research Project

• Apr 2019 - Aug 2019

Worked on " Investigation of Visible flicker mitigation in VLC PAM transmission systems" at the Communications Research Laboratory (CRL). Development of Line Codes for Visible Light Communication(VLC) and deriving results for flicker mitigation with performance testing. Research involved areas of DC-Balanced Codes, Psychophysics, Communications Engineering and Coding. Tool: MATLAB Presented as a Research Project at the TU Ilmenau conducted by the Communications Research Laboratory in Summer Semester 2019. Show less

Assistant System Engineer

• Feb 2017 - Feb 2018

Dot net developer. Worked under New India Assurance (NIA) project. Skills :C#, SQL, PLSQL and Java. Dot net developer. Worked under New India Assurance (NIA) project. Skills :C#, SQL, PLSQL and Java.

Research Project Assistant

• Aug 2016 - Feb 2017

Worked on " Investigation of Fanout range for 45nm CMOS technology to minimise the crowbar current" under Mr. Krishanu Datta. Implementation using Tanner EDA tools and later the results were published in IEEE Explore. Worked on " Investigation of Fanout range for 45nm CMOS technology to minimise the crowbar current" under Mr. Krishanu Datta. Implementation using Tanner EDA tools and later the results were published in IEEE Explore.