Rajat
Bengaluru, Bangalore Division, Karnataka, India
Experience: 2 years
Open to: Full-Time
Education: Masters
Availability: Within 30 Days
Skills: Dart, Docker, Jupyter Notebooks, Kubernetes, LLMs/ChatGPT, NumPy, pandas, Python, Python3, PyTorch, scikit-learn, TensorFlow
Previously worked at: US-based Companies
Assessment Score: 55
- Educational Background
Holds a Master of Technology in Artificial Intelligence from the Indian Institute of Science, Bangalore (2020-2022) with a CGPA of 7.4/10, and a Bachelor of Technology in Electrical Engineering from Bhilai Institute of Technology (2014-2018) with a CGPA of 7.4/10. - Current Professional Experience
Working as a Data Scientist at Mavenir Systems (July 2022 – Present), where key contributions include developing a time series KPI forecasting pipeline, creating an NLP-based customer support chatbot, and implementing predictive models using LSTM to analyze user trajectories in cellular networks. - Technical Expertise
Proficient in programming languages such as Python, C, MATLAB, and Julia, and experienced with machine learning and deep learning frameworks like TensorFlow, PyTorch, and Hugging Face. Skilled in NLP, Generative AI, and advanced techniques such as graph neural networks (GNNs) and convolutional neural networks (CNNs). - Research and Publications
Co-authored a research paper titled “Identifying Core-Periphery Structures Using Graph Neural Networks,” presented at the 56th Asilomar Conference on Signals, Systems, and Computers (2022), showcasing expertise in advanced data science methods and applications. - Key Projects
Led impactful personal projects, including a personalized AI math tutor using LLaMA 2.0 for domain-specific question answering, a sentiment analysis model on customer reviews with a best accuracy of 90% using BERT, and a facial expression detection system using CNNs with performance improvements through additional features. - Additional Skills and Interests
Experienced in cloud computing platforms (AWS), containerization with Docker, and ML model deployment with Kubernetes. Actively involved in extracurricular activities, including winning a cluster-level U14 chess competition and earning a B Certificate in National Service Scheme (NSS).