AI Engineer • RAG & Agent Systems

ASWIN K J

Architecting scalable AI systems, production RAG pipelines & autonomous LLM agents.

AIML Undergraduate specializing in LLMs and RAG-based agent systems. Seeking an AI Engineering internship to build scalable, production-grade applications.

Explore My Odyssey

The Armory

Technical Skills & Leadership

Languages & Core CS

Python, Java, C, SQL, Data Structures & Algorithms (DSA), Object-Oriented Programming (OOP).

PythonJavaCSQLDSA

AI/ML Frameworks

TensorFlow, Scikit-Learn, MLflow, Pandas, NumPy, RAG Retrieval Systems, Large Language Models (LLMs).

RAGLLMTensorFlowScikit-LearnMLflow

Web & Cloud

FastAPI, Flask, Streamlit, React.js, Microsoft Azure (AI-900), Oracle Cloud Infrastructure (OCI).

FastAPIFlaskReact.jsAzure AI-900OCI

Tools & Platforms

Git/GitHub, Tableau, PowerBI, Ollama, Hermes, Plotly, Recharts.

Git/GitHubOllamaHermesTableauPowerBI

Leadership & Organization

Experienced in leading technical teams and organizing large-scale events, coordinating 10+ member teams and 1000+ attendee events across college symposia and workshops.

Coordinator — Texperia 2026Coordinator — CodexiaCybersecurity Workshop LeadExecutive Member — IEEEExecutive Member — Gennuera

Professional Experience

The Chronicles

ML Intern

FlyRank • Remote
July 2026 - Present
  • —Engineered semantic clustering and intent-classification pipelines using embeddings and unsupervised learning (e.g., HDBSCAN, scikit-learn) to map search-query demand to content-coverage gaps.
  • —Developed opportunity-scoring models translating raw search/analytics data into ranked, actionable recommendations, connecting model output directly to business-impact decisions.
HDBSCANScikit-LearnSemantic ClusteringOpportunity-Scoring Models

DA Intern

LabMentix • Remote
July 2025 - Dec 2025
  • —Engineered deep learning pipelines using TensorFlow and EfficientNetB0 transfer learning, integrating MLflow for rigorous MLOps experiment tracking and hyperparameter versioning.
  • —Architected and deployed real-time predictive analytics inference dashboards using Streamlit, seamlessly bridging backend machine learning logic with interactive web applications.
TensorFlowEfficientNetB0MLflow MLOpsStreamlit

Selected Works

The Arsenal • Production AI Applications

Featured Work • Personal Finance PWA

Finassist : Personal Finance PWA

  • —Engineered a Google Gemini LLM agent with 8 custom tool-use/function-calling schemas and a RAG retrieval system for zero-friction conversational transaction logging and financial onboarding with strict advice guardrails.
  • —Architected a FastAPI backend across 14 modular REST routers and 13 relational tables, implementing automatic multi-account balance reconciliation, recurring bill engines, and 2.5x threshold spending anomaly detection.
  • —Built a mobile-first React 19 PWA with Service Worker offline caching, background transaction queues, and dynamic Recharts data visualisations for 50/30/20 budgeting and net worth tracking.
FastAPIGoogle GeminiRAG AgentReact 19 PWARechartsService WorkersSQL

V2C : Voice to Code AI

1st Place, Hack Hive 2025

  • —Architected a voice-to-code translation Flask backend with the Gemini API, optimising natural language parsing for low-latency, multi-language code generation.
  • —Engineered a zero-click, voice-driven development state machine integrating the Web Speech API with custom audio heuristics for visually impaired accessibility.
  • —Automated repository provisioning and version control pipelines using the GitHub REST API for dynamic multi-file packaging.
FlaskGemini APIWeb Speech APIGitHub REST APIPython

Exoplanet AI

NASA Space Apps Challenge

  • —Engineered a 5-model deep learning ensemble (CNN, LSTM, Bi-Attention, RF, Hybrid) achieving 94.1% accuracy and 97.8% AUC on NASA Kepler/TESS photometry data.
  • —Built a Flask inference backend with a time-series preprocessing pipeline, delivering sub-200ms predictions using 20+ extracted spectral features.
  • —Developed a Plotly web dashboard for live light curve simulations, dynamic transit generation, and real-time model comparisons.
TensorFlowCNN & LSTMBi-AttentionFlaskPlotly

Honors & Artifacts

Education, Certifications & Achievements

Education & Honors

B.Tech in Artificial Intelligence & Machine Learning

Present

Department 1st Rank • CGPA: 9.27 / 10

SNS College of Technology | Coimbatore, India

Higher Secondary Education (Xth | XIIth)

2022 - 2024

Elected School Head Boy

The Oxford School | Trivandrum, India

Competitive Milestones

  • Solved 200+ DSA Problems on LeetCode
  • Winner of Codexia and CodeSprint Hackathons @ SNS Institutions
  • 2x Winner @ SPARK Robotics Competition, ACE College of Engineering, Trivandrum
  • Presenter, International Conference — Sathyabama University (in collaboration with Univ. of Nottingham & ITS)

Initiate Contact

Open for AI Engineering Roles & Collaborations

Reach out directly for opportunities, technical discussions, or to review my complete credentials.