MANJEET SINGH
AI Automation EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Automation Engineer with less than a year in LLM Development & AI Automation
Results-driven Generative AI Engineer and LLM Developer with a B.Tech in Artificial Intelligence & Data Science (2026). Experienced in designing and deploying production-grade AI systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, Prompt Engineering, and OpenAI/Hugging Face APIs. Proven track record of building scalable AI automation workflows using n8n, FastAPI, and REST APIs that reduce manual effort by 70–80%. Passionate about solving real-world problems through intelligent AI agents, generative AI pipelines, and end-to-end LLM-powered applications. Seeking to contribute as a Generative AI Engineer at Polluxa, bringing hands-on expertise in AI model fine-tuning, vector databases, cloud deployment, and business process automation.
Poornima Institute of Engineering & Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
MaxBrain Technologies
AI Automation Engineer Intern
December 1, 2025 – March 1, 2026
Jaipur, Rajasthan, India
AI-Based OCR to MCQ Generator
January 1, 2026 – February 1, 2026
Built an end-to-end OCR + LLM pipeline to convert PDFs and scanned images into structured MCQ datasets using Google Vision OCR and GPT-4, reducing manual content processing effort by 70%. Automated multi-step document-to-question workflow via n8n, cutting average processing time per document from 30 minutes to under 2 minutes.
Fine-Tuned LLM for Domain Adaptation (Tea Leaf Disease Expert)
December 1, 2025 – December 1, 2025
Fine-tuned GPT-4.1 Nano on curated tea leaf disease datasets, producing a domain-specific AI expert model with 90%+ response accuracy on plant disease queries. Applied advanced prompt engineering and supervised fine-tuning techniques to improve inference precision over a general-purpose baseline by 35%.
AI-Powered SEO Blog Automation System
November 1, 2025 – December 1, 2025
Developed a fully automated AI content pipeline for SEO blog generation, integrating topic research, AI writing, and direct WordPress publishing — reducing manual publishing time by 90%.
AI Educational Assistant for Competitive Exam Preparation
October 1, 2025 – November 1, 2025
Fine-tuned GPT-4.1 Mini on CBSE Class 10 Science chapter datasets, achieving 85%+ accuracy in generating subject-specific MCQs, explanations, and summaries. Implemented a RAG pipeline using LangChain and vector embeddings to enable context-aware question answering, reducing hallucination rate by 40%. Deployed the AI tutor as a FastAPI-based REST API endpoint, supporting 500+ concurrent student queries per session.
E-commerce Analytics Dashboard & Laptop Price Predictor
January 1, 2024 – December 31, 2024
Built a Laptop Price Prediction ML model using regression algorithms, achieving 92% prediction accuracy on a 1,300+ product dataset. Designed an E-commerce Analytics Dashboard in Power BI integrating SQL data pipelines to surface actionable business insights for sales performance tracking.
International Data Science & Machine Learning Program
GCI World
June 1, 2026 – Present
Artificial Intelligence, Prompt Engineering, Introduction to NLP, Introduction to Deep Learning, Data Science, Introduction to Automation Testing
Infosys Springboard
April 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Automation Engineer role, particularly in an innovative and fast-paced environment. Their portfolio showcases a passion for leveraging AI to solve real-world problems and automate complex workflows. The breadth of technologies used (LangChain, Hugging Face, n8n, FastAPI, various APIs, vector databases) indicates a continuous learning mindset and a willingness to explore diverse tools. The personal projects, alongside the internship, reflect initiative and a drive to build practical, impactful solutions, which aligns well with a product-focused or automation-centric company culture.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience highlight a proactive, results-driven approach to problem-solving. The focus on reducing manual effort by significant percentages (70-80%+) indicates a strong operational mindset geared towards efficiency and automation. The diversity of projects, from educational assistants to SEO automation and lead generation, suggests adaptability and a keen interest in applying AI to various business challenges. While direct collaboration experience is not explicitly detailed, the nature of building integrated systems implies an understanding of operational dependencies.