Abhimanue S

About Abhimanue S

Aspiring Software and Machine Learning Developer with a strong foundation in computer science and hands-on experience building intelligent, scalable systems. I specialize in combining backend engineering and modern AI to create efficient, production-ready solutions. Education:Bachelor of Technology (Honours), Computer Science and Engineering — Federal Institute of Science and Technology (FISAT)What Sets Me Apart:I focus on developing clean, modular, and performance-oriented software that bridges AI research and practical deployment. Whether it’s designing backend APIs, optimizing ML pipelines, or integrating AI models into real-world applications, I aim to deliver reliable and impactful results.Notable Projects:SERES: Speech Emotion Recognition system with empathetic video response synthesis using Wav2Vec 2.0 and Unreal Engine MetaHuman.AI Lead Scoring Service: FastAPI-based scoring microservice using Groq LLaMA, achieving 95% accuracy and scalable containerized deployment.Document Info Extractor: RAG-based document retrieval system with FAISS and PostgreSQL, optimizing relevance and query speed.Asset Management System: Full-stack React.js and Firebase platform — 1st Prize Winner at Hexcode Hackathon 2025.Key Skills:• Deep Learning, RAG, Generative AI, NLP, Speech Emotion Recognition• Python, Java, JavaScript, SQL, FastAPI, Django, React.js• PyTorch, TensorFlow, Scikit-learn, FAISS, PostgreSQL, Firebase• REST APIs, Docker, Git, Render Deployment, Agile Development

Experience

1. Intern

   QBurst

   Jan 2026 — Present

Education

• Federal Institute of Science and Technology (FISAT)

  Bachelor of Technology - BTech, Computer Engineering

• Kuriakose Elias English Medium School

  High School Diploma

• St. Francis School

  High School Diploma

• APJ Abdul Kalam Technological University (KTU), Thiruvananthapuram

  Bachelor of Technology - BTech, Computer Engineering