Back to Developers
Seelam Neeraj

Seelam Neeraj

GenAI Prompt Engineer and AI Quality Specialist

Hyderabad, Telangana
80
Profile Score

About

GenAI Prompt Engineer and AI Quality Specialist with hands-on experience designing structured prompt systems, multi-step workflows, and evaluation frameworks for Large Language Models (LLMs). Skilled in developing role-based prompting strategies, hallucination mitigation techniques, and rubric-driven output validation systems to improve factual grounding, logical consistency, and tone alignment. Experienced in developing AI-assisted long-form blogs, educational articles, and structured website content optimized for clarity, engagement, and audience alignment.

Skills & Expertise (32)

Role-Based Prompting Expert
9.0/10
2
Years Exp
Multi-Step & Chain-of-Thought Workflows Advanced
8.8/10
2
Years Exp
Guardrails & Hallucination Mitigation Advanced
8.8/10
2
Years Exp
Self-Refinement Prompting Advanced
8.5/10
2
Years Exp
Tone Control & Instruction Design Advanced
8.5/10
2
Years Exp
Tone Adaptation & Audience Targeting OpenAI API Clarity Optimization & Readability Enhancement Editorial Review & Content Refinement Knowledge Base & Documentation Writing Content Repurposing & Structured Summarization Python (Basics) SQL (Basics) JSON HTML CSS JavaScript (Basics) bootstrap Thought Leadership & Educational Content Content Strategy & Messaging Architecture Website & Landing Page Copywriting SEO-Aware Content Development AI-Assisted Content Structuring Technical & Non-Technical Content Creation Long-Form Article & Blog Writing Safety & Compliance Evaluation Scenario-Based Testing Logical Consistency Validation Failure-Mode & Bias Analysis A/B Prompt Experimentation Rubric-Based Testing Retrieval-Aware Grounded Prompting

Work Experience

AI Prompt Engineer – GenAI Content & Evaluation

Rapra Software Technologies Pvt Ltd

Mar 2024 - Present

Designed role-based and multi-step prompt workflows for structured information extraction from domain-specific documents. Developed controlled prompting strategies to ensure format adherence, tone stability, and contextual accuracy. Implemented structured self-refinement loops to re-evaluate LLM outputs against predefined quality rubrics. Conducted A/B prompt experimentation to optimize clarity, coherence, and factual grounding. Applied retrieval-aware prompting strategies to improve response reliability in knowledge-based outputs. Designed qualitative evaluation frameworks to assess hallucination risk, logical consistency, bias patterns, and compliance alignment. Performed failure-mode analysis to identify ambiguity triggers and prompt fragility. Built scenario-based testing approaches to validate robustness across varied input conditions. Reviewed and validated AI-generated long-form content for structural integrity and business alignment. Developed reusable AI-assisted content frameworks, reducing manual editing effort by 30–40%. Improved content turnaround time by ~35% through structured prompting workflows. Collaborated with stakeholders to align AI outputs with brand positioning and communication objectives.

Education

B.Tech in Computer Science Engineering - Malla Reddy Institute of Engineering & Technology

- 2023 · Afghanistan

Interested in this developer?

Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceMar 2026

Skills (32)

Role-Based Prompting Multi-Step & Chain-of-Thought Workflows Guardrails & Hallucination Mitigation Self-Refinement Prompting Tone Control & Instruction Design Tone Adaptation & Audience Targeting OpenAI API Clarity Optimization & Readability Enhancement Editorial Review & Content Refinement Knowledge Base & Documentation Writing +22 more