SUMAIR RASI V
AI/ML DEVELOPER
Malappuram +91 7902339289
Kerala, India, 676301 sumairrazi585@gmail.com
LinkedIn | Github Link
PROFILE Personal Portfolio
Machine Learning Engineer with 2 years of experience in AI, NLP, and Deep Learning. Skilled in delivering impactful solutions and
implementing CI/CD practices. Driven to excel in roles that blend innovation and growth.
EDUCATION
Bachelors Of Computer Science and Engineering (08/2018 - 06/2022)
Mes College of Engineering, kuttipuram
PROFESSIONAL EXPERIENCE
Junior Machine learning Engineer (01/2023-present)
GBS-PLUS Ltd, Trivandrum, kerala
• Client Engagement & Solution Delivery: Actively worked on Client Demos, Proposals, RFP, ML Architecture Design and
Delivering the solutions on time with meticulously planned Resourcing and Budget.
• Implemented and Finetuned LLM models: customizing solutions to meet specific project requirements and performance goals
• Documentation: Authored comprehensive documentation for processes, databases, and API’s to facilitate knowledge sharing.
• CI/CD Automation: Developed automated unit test cases for APIs in production to ensure reliability.
PROJECTS
• Employee Management System: The project leverages Generative AI to streamline task management, track employee
progress, and enable leadership to prioritize and assign tasks for optimized productivity and growth.
o Technologies: OpenAI, Langchain, Neo4j
o Outcome: The project improves productivity by an estimated 20-30%, aligns 90% of tasks with company goals, and
boosts employee growth through monthly performance insights and efficient, priority-based task allocation.
• Document Field Extraction and Processing Tool: Developed an OCR-based solution using multi-model llm to automate field
extraction from documents, transforming unstructured data into structured formats for enhanced accuracy and efficiency.
o Technologies: Model Fine-tuning, End to end pipeline, MongoDB
o Outcome: The OCR-based automation project increased data processing efficiency by 70%, elevating document
validation capacity from 1,000 records per day to 60,000 records per day, resulting in a 90% reduction in manual
workload and a significant decrease in errors, ultimately driving a 30% improvement in overall productivity.
TECHNICAL STACKS
• Data Science & Machine Learning: Python, Deep learning, Machine learning algorithms,CV, NLP, Sklearn, PyTorch, Keras,
NumPy, Pandas, OpenCV, Ollama, SQL Agents
Transformers
• MLOps & CI/CD: MLflow, Evidently, GitHub Actions
• Backend Development: Flask, Streamlit, Fast API, Redis, SQL, ORM, WebSockets, Celery
• Programming & Databases: MySQL, MongoDB, ChromaDB, Pinecone, FAISS , Neo4j
• Cloud Deployment & DevOps: AWS (EC2, S3), Git, Docker
• LLM Tools & Frameworks: Langchain, OpenAI APIs, Open Source LLMs, Langsmith, LlamaIndex, RAG , Agent
• Soft Skills: Analytical thinking, problem-solving, teamwork, effective communication
