Riteek Kumar

AI Analyst currently working with Turing (since May 2026), where I debug and evaluate Gemini model outputs using structured prompts and rubrics tied to RLHF principles. I've personally reviewed 200+ LLM-generated responses for accuracy, safety, coherence, and instruction-following, and I bring the same rigor to prompt engineering (zero-shot, few-shot, chain-of-thought) across GPT, Gemini, and Claude. My background in React, TypeScript, and Django lets me build and ship the tools I evaluate, not just assess them from the outside.

Also comfortable with data structures, algorithms, and system design (100+ problems solved). Looking for an AI Trainer or LLM Evaluator role where careful, detail-oriented evaluation work makes a real difference.

AI Analyst (Part-time / Freelance) - Turing

(2026-05)

• Perform prompt-based debugging of Gemini model outputs, writing and refining prompts to test model responses for accuracy and correctness
• Identify and document model-matching issues, inconsistencies, and errors in structured debugging log files
• Upload debugging logs and evaluation files to a shared drive for review by the QA and reviewer team
• Collaborate on an iterative model-improvement workflow by providing detailed, reproducible error reports

AI & LLM Evaluation Practice - Independent Study & Applied Practice

(2026-01 - 2026-03)

• Completed a structured, self-directed program in advanced prompt engineering: zero-shot, few-shot, chain-of-thought, role-based, and constraint-based prompting
• Evaluated 200+ AI-generated responses (ChatGPT, Gemini, Claude) across 8 dimensions — accuracy, relevance, safety, tone, instruction-following, creativity, hallucination detection, and bias
• Developed personal evaluation rubrics for code-quality assessment aligned with RLHF (Reinforcement Learning from Human Feedback) principles
• Studied AI safety fundamentals: harmful-output detection, jailbreak resistance, fairness, and bias mitigation
• Documented 50+ detailed evaluation case studies with structured feedback, simulating production AI-training workflows

C++ & Data Structures Engineering Training - Cipher Schools

(2024-05 - 2024-06)

• Mastered advanced DSA concepts and competitive-programming techniques (6-week intensive program)
• Built a Hospital Management System applying Binary Search Trees (BST) with O(log n) search/insert operations
• Solved 50+ algorithm problems focused on optimization and real-world applications

Placement Coordinator & Student Leader - Lovely Professional University

(2024-01 - 2024-03)

• Coordinated 10+ recruitment drives involving 50+ companies and 200+ student candidates
• Managed candidate profiles, interview scheduling, and placement records using Excel and internal systems
• Demonstrated leadership, time management, and organizational skill under high-pressure deadlines

Bachelor of Technology - Computer Science & Engineering - Lovely Professional University, Phagwara, Punjab (2022-08 - 2026-05)

Intermediate (CBSE) - Central Board of Secondary Education, Patna, Bihar (2020 - 2022)