Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
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JOSHUA ABEL COUTINHO

Goa

Summary

AI Engineer with strong expertise in RAG optimization, SFT, reinforcement learning, and backend engineering. Achieved 40% improvement in RAG accuracy and 50% latency reduction through WebSocket and WebRTC optimization. Skilled in Python, Fatsia, cloud platforms, and scalable AI pipelines. Experienced in AI agent frameworks, prompt engineering, and real-time system design, delivering high-performance AI solutions aligned with business needs.

Overview

2
2
years of professional experience

Work History

Backend & AI Engineer

Creative Capsule
08.2024 - Current
  • Architected database designs and agentic workflows that streamlined system efficiency and supported scalable AI-driven applications.
  • Optimized Retrieval-Augmented Generation (RAG) pipelines, improving response relevance by ~40% through custom evaluation metrics and advanced prompt engineering.
  • Led stakeholder meetings and provided actionable insights on AI system performance, ensuring business alignment with technical outcomes.
  • Enhanced backend system performance by implementing WebRTC and WebSockets for real-time processing, reducing latency by ~50%.
  • Improved model performance through Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL), enabling adaptive AI systems with higher accuracy and robustness.

Researcher

BITS Pilani Goa
10.2023 - 06.2024
  • Conducted advanced research focused on integrating machine learning with neuroimaging analysis to investigate schizophrenia.
  • Employed simulation tools including TVB (The Virtual Brain) and Python-based neuroimaging libraries to model and understand pathological brain changes.
  • Analyzed large-scale neuroimaging datasets to simulate neurological processes, generating actionable insights in both computational neuroscience and applied artificial intelligence.
  • Collaborated with interdisciplinary teams to conduct comprehensive studies and generate valuable insights.

Machine Learning Intern

Cloud Counselage
08.2023 - 10.2023
  • Developed a predictive model for student placement status, incorporating data cleaning and handling of null values.
  • Formulated a simple equation to estimate graduation year based on company datasets.

Data Science Intern

CodersCave
07.2023 - 08.2023
  • Built a diabetes prediction model, improving skills in medical data analysis and achieving strong accuracy.
  • Created a classification model for mobile price categorization, leveraging feature engineering for high precision.
  • Performed advanced data extraction and data manipulation.

Education

Bachelor of Engineering -

Don Bosco College Of Engineering
Goa
07.2024

Skills

  • Programming & Scripting: Python, SQL, JavaScript
  • Frameworks & Tools: FastAPI, Django, Flask, Nodejs
  • AI/ML: RAG Optimization, SFT, Reinforcement Learning, Prompt Engineering
  • Databases & Cloud: PostgreSQL, MongoDB, Azure, AWS
  • Real-time Systems: WebSockets, WebRTC

Accomplishments

  • Ranked #2 in DBCE E-CELL idea competition; proposed and implemented a web portal for second-hand book resale.
  • Shortlisted #1 at the Institute Level for Smart India Hackathon 2022.
  • Won #1 in Kshitij Final Year Project Competition (Computer Department).
  • Co-authored review paper on 'Set-Theoretic Data Structures' by David L. Childs.
  • Authored white paper on 'Leveraging AI for Quality Checks.'
  • Reviewed Bitcoin whitepaper as part of Solidity Fundamentals coursework.

Timeline

Backend & AI Engineer

Creative Capsule
08.2024 - Current

Researcher

BITS Pilani Goa
10.2023 - 06.2024

Machine Learning Intern

Cloud Counselage
08.2023 - 10.2023

Data Science Intern

CodersCave
07.2023 - 08.2023

Bachelor of Engineering -

Don Bosco College Of Engineering

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