Lintu
Pothencode, Kerala, India
Experience: 1 years
Open to: Full-Time, Part-Time
Education: Masters
Availability: Within 30 Days
Skills: Active Directory, Azure, C, Git, Grafana, Jira, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, Node.js, NumPy, pandas, Power BI, PowerShell, Problem Solving, Python, Python3, PyTorch, React, scikit-learn, ServiceNow, Tableau, TensorFlow
Previously worked at: Fortune 500, IT Service Companies
Assessment Score: 57
- Professional Experience: With 4.5 years of experience in the IT field, the candidate has a strong background in machine learning, deep learning, and AI-driven solutions, having worked in various capacities including as a Senior Engineer at Tata Elxsi, where they specialized in embedded systems and security solutions for automotive applications, automation, and web application development.
- Academic Background: The candidate holds an MTech in Computer Science and Data Analytics from NIT Andhra Pradesh, where they ranked among the top of their department with a CGPA of 9.18. They also earned a BTech in Computer Science and Engineering from Cochin University of Science and Technology with a CGPA of 8.2/10.
- Certifications and Training: The candidate has enhanced their skill set with certifications in key areas, including RAGs by OpenAI, AWS (Beginner), Microsoft Azure Fundamentals, and MCSA. Additionally, they completed a course in Deep Learning for Computer Vision through NPTEL.
- Research and Development: As a Research Scholar at NITAP, the candidate contributed to significant research projects such as Conv-Attention ViT for classification of multi-label class imbalanced data related to lung thoracic diseases, and network anomaly detection using AI techniques. They have also worked as a freelancer, training AI models and enhancing their performance.
- Security and Incident Response: The candidate has strong expertise in security, demonstrated through their work at RMESI, where they integrated Azure Sentinel with Trend Micro, reducing analysis time by 50%. They also have extensive experience in security monitoring, incident response, and data analysis using KQL for threat investigations.
- Technical Proficiency: Skilled in a variety of programming languages including Python and C, as well as AI tools and frameworks such as TensorFlow, PyTorch, and OpenAI API. The candidate also has experience with cloud platforms like Azure, as well as security tools like Microsoft Sentinel, and is proficient in creating interactive visualizations using Power BI, Matplotlib, and Seaborn.