Aman Manikpuri
AI Engineer | Data Analyst | Open to Full-time Roles
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Summary
I'm a software engineer transitioning into AI/LLM engineering, focused on building practical AI applications rather than just studying theory. My work combines backend development, data handling, and large language model integration to create real-world solutions such as RAG pipelines, intelligent task systems, and AI-assisted tools. I'm currently working in an AI/LLM practice where I evaluate and improve model outputs, which gives me hands-on exposure to production AI systems. I'm driven by the goal of engineering reliable, scalable AI products that solve real problems, and I'm continuously expanding my skills in applied AI, system design, and model integration.
Certifications
Prompt Engineering Pro
By Udemy
Python App Development
By Udemy
Data Analytics Job Simulation
By Deloitte
Top Skills
Programming & CS Concepts
  • C++, Python, OOP, DSA
Databases
  • SQL, MySQL, PostgreSQL
Web Development
  • HTML, CSS, JavaScript, React.js, Node.js, RESTful APIs, Bootstrap
Framework/Tools
  • Flask, XAMPP, Git/GitHub
Data Analytics
  • Tableau, Excel
AI/ML
  • LLMs, RAG, Prompt Engg., Embeddings.
Experience And Internships
1
AI/LLM Analyst
Innodata India Pvt. Ltd., Noida | Dec 2025 - May 2026 |
2
Full Stack Developer
Smedketing | Apr 2023 - Nov 2025 |
Projects
1
Fake News Detector | GitHub
Python, Flask, NLP
Built an ML model using TF-IDF and Logistic Regression to classify news articles with 92% accuracy. Deployed with Flask for interactive predictions
2
Traffic Automation System | GitHub
Python, Jupyter Notebook
Implemented a real-time traffic light controller using image processing. Optimized traffic flow by detecting congestion and dynamically adjusting signals.
3
RAGFlow 2.0 | GItHub
LLM, Embedding, RAG Pipeline
Extended an existing open-source Retrieval-Augmented Generation (RAG) framework by adding custom functionalities across document ingestion, retrieval configuration, and LLM response generation. Worked directly with a pre-built codebase to understand system architecture, modify components, and improve context grounding, helping reduce hallucinated outputs through retrieval-based responses.
Education
Shri Shankaracharya Technical Campus
Bachelor of Technology | Computer Science and Engineering | October 2021 - June 2025

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