Zishaan
Hyderabad, Telangana, India
Experience: 5 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: AWS, Docker, Git, IBM, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, pandas, PostgreSQL, Power BI, Problem Solving, Python, Python3, PyTorch, Redis, scikit-learn, Selenium, Tableau, TensorFlow
Previously worked at: Startups
Assessment Score: 79
- Professional Experience: Data Analyst at Ganit Business Solution since September 2023, working with large language models like LLaMA2, GPT, Gemini, Claude3, and Phi to develop custom solutions. Specializes in model fine-tuning, text annotation, classification tasks, and vector databases like Pinecone and ChromaDB for data storage and retrieval.
- Technical Expertise: Proficient in Python, SQL, Langchain, Docker, and cloud platforms such as AWS (SageMaker, Lambda, EC2, Glue, etc.). Extensive experience with deep learning frameworks (TensorFlow, Keras), and vector databases (Pinecone, Qdrant, Weaviate, FAISS) to enhance model performance in tasks such as sentiment analysis, machine translation, and information retrieval.
- Cloud and DevOps Skills: Hands-on expertise in AWS cloud infrastructure provisioning and automation, including deployment of models on cloud platforms. Experience with CI/CD pipelines for machine learning models using SageMaker, Lambda, and Kinesis, with a focus on high-volume data processing and model inference.
- Personal Projects: Developed a fine-tuned GPT-3.5 model for real estate terminology, improving accuracy by 30% using embeddings-based retrieval. Also built a CI/CD pipeline for handling 600,000 records using XGBoost, CatBoost, and LightGBM on AWS, along with a diabetic retinopathy detection system using CNNs for image processing.
- Machine Learning and AI: Strong experience with machine learning algorithms (XGBoost, LightGBM, CatBoost) and deep learning techniques (CNN, LSTM). Built and deployed models for image processing, text generation, and sales pitch creation using Claude-3 and AWS Bedrock, integrating structured knowledge graphs for improved context and accuracy.
- Education: Holds a Bachelor of Engineering in Computer Science and Engineering from Rajiv Gandhi Institute of Technology, Mumbai, with a CGPA of 9.00.