Chandramani
Lucknow, Lucknow Division, Uttar Pradesh, India
Experience: 1 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: Android, Java, Kotlin, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, pandas, Python, Python3, PyTorch, scikit-learn, TensorFlow
Previously worked at: Fortune 500, US-based Companies
Assessment Score: 60
- Experience and Expertise: A data scientist and machine learning engineer with 4 years of experience specializing in AI, machine learning, deep learning, and Generative AI. Proficient in developing and deploying machine learning models, including advanced techniques in Large Language Models (LLMs), computer vision, and predictive analytics.
- Educational Background: Currently pursuing a Master’s in Machine Learning at the University of Maryland, with a strong academic foundation in deep learning, NLP, computer vision, and optimization. Holds a Bachelor’s in Computer Science from Netaji Subhas University of Technology, graduating in 2019.
- Work Experience: Experience includes roles as a Graduate Research Assistant at UMD, focusing on uncertainty estimation and cheating detection models, and as a Data Scientist Intern at Axle Informatics, where edge detection models for cellular segmentation were developed. Previous experience as a software developer at Samsung, working on smart apps for Galaxy devices.
- Technical Skills: Expertise in machine learning frameworks such as PyTorch, TensorFlow, and HuggingFace, and programming languages including Python, SQL, and Java. Skilled in data analytics, feature engineering, model optimization, and deployment in cloud environments (AWS, Azure).
- Project Work and Contributions: Led projects such as enhancing mathematical reasoning in Vision-Language Models, developing a time series forecasting model using LLMs, and creating an automated scoring system for educational assessments. Significant experience in vision-language models and multi-modal learning.
- Achievements and Recognition: Earned multiple medals in Kaggle competitions, including Silver Medals in LLM Science Exam and Linking Writing Processes. Successfully delivered AI-powered solutions, including a personalized restaurant recommendation app using Langchain and Yelp data, and automated NAEP math scoring with BERT models.