Naveen Kumar

Results-oriented AI and Data Science graduate with hands-on experience in Python development, AI/LLM evaluation, machine learning, computer vision, and data analytics. Skilled in developing Generative AI applications, NLP-to-SQL systems, OCR solutions using OpenCV, and interactive Power BI dashboards. Proficient in Python, SQL, Machine Learning, Generative AI, backend development, REST APIs, and cloud technologies.

Passionate about building scalable AI-powered applications and seeking opportunities as an AI Engineer, Machine Learning Engineer, Data Analyst, or Python Developer.

AI/LLM ANALYST at Innodata India Pvt. Ltd. (2025-12 – 2026-07)

• Evaluated AI and Large Language Model (LLM) generated responses for factual accuracy, contextual relevance, completeness, and adherence to quality guidelines across multiple domains.
• Performed analysis, response ranking, and quality assessment to identify hallucinations, inconsistencies, and safety-related issues in AI-generated outputs.
• Reviewed and optimized prompts to improve response quality, instruction following, and overall model performance across diverse evaluation scenarios.
• Contributed to dataset refinement and feedback workflows by validating annotations and improving training data quality for AI systems.
• Worked with evaluation workflows related to Retrieval-Augmented Generation (RAG) systems, focusing on response grounding, contextual relevance, and retrieval quality assessment.
• Supported assessment of AI-driven document understanding and information extraction tasks, including evaluation of structured and unstructured data extraction outputs.
• Collaborated with cross-functional teams to maintain annotation consistency and ensure compliance with project-specific quality benchmarks.
• Assisted in identifying model failure patterns and edge cases, providing actionable insights for continuous model improvement and optimization.

PYTHON DEVELOPER at Raibs Technologies (2025-09 – 2025-12)

• Developed and maintained backend modules, automation scripts, and REST APIs using Python and Flask.
• Designed and implemented RESTful APIs using Flask for seamless communication between frontend and backend services.
• Worked with SQL databases to perform data retrieval, manipulation, and optimization for business applications.
• Assisted in developing and enhancing web applications using Python and Flask, focusing on scalable and maintainable backend architecture.
• Collaborated with cross-functional teams to analyze business requirements, troubleshoot application issues, and deliver reliable software solutions.

DATA SCIENCE INTERN at IZen Technologies (2024-04 – 2024-05)

• Collected, cleaned, and preprocessed structured datasets using Python, Pandas, and SQL to ensure data quality and consistency for analysis.
• Performed Exploratory Data Analysis (EDA) to identify trends, patterns, and key insights that supported data-driven decision-making.
• Developed interactive Power BI dashboards and reports to visualize student performance metrics, reducing manual reporting effort by approximately 30%.
• Applied data cleaning, transformation, and feature engineering techniques to improve dataset usability for machine learning workflows.
• Worked with SQL to retrieve, filter, and manipulate data from relational databases for analytical reporting.
• Assisted in developing and evaluating machine learning models using Scikit-learn, gaining practical experience in model training and performance evaluation.

B. Tech in Artificial Intelligence & Data Science – K. Ramakrishnan College of Technology (2021 – 2025)

HSC – Kendriya Vidyalaya, CUTN, Tiruvarur (2020 – 2021)

SSLC – Trinity Academy, Tiruvarur (2018 – 2019)