About Me

Aditya

Hello!

I am Aditya Jethani 👨‍💻—a Machine Learning Engineer focused on building scalable RAG platforms, medical imaging systems, and production-grade backend services that turn research into reliable products.

I ship GPU-batched LLM inference, diagnostic computer-vision, and automation pipelines across Python, Go, and JavaScript stacks. Drawing on strong DSA fundamentals and system design, I break complex problems into measurable experiments, automate evaluation, and iterate until latency, accuracy, and robustness targets are met.

My Skills

Machine Learning and AI

Backend development

Data Science and Analysis

Tech I'm familiar with

Tech Stack

💡 Languages

Python
C++
Java
SQL
JavaScript
MATLAB
Go

🌐 Web & API Development

FastAPI
Flask
Django
Node.js
Express.js
HTML5
CSS
React
Postman

🧠 Machine Learning & Deep Learning

scikit-learn
TensorFlow
PyTorch
Keras
XGBoost
Optuna
Pandas
NumPy
Matplotlib
OpenCV

🤖 LLM / NLP / VectorDB Tools

LangChain
LangGraph
FAISS
ChromaDB
pgvector
HuggingFace
LlamaIndex

🧰 DevOps & Tools

Git
GitHub
Docker
Selenium
Linux

☁️ Cloud & Databases

MongoDB
MySQL
Google Cloud
BigQuery
Vertex AI
AWS

Education

Academics

Bachelor's Degree in Computer Science & Engineering

Pandit Deendayal Energy University

CGPA: 9.44/10

Coursework: Data Structures & Algorithms, Object-Oriented Programming, Database Management Systems, Computer Networks, Operating Systems, Software Engineering, Computer Architecture, Theory of Computation, Compiler Design, Artificial Intelligence, Machine Learning, Web Development

Aug. 2021 - May 2025

Higher Secondary

Shree Swaminarayan Academy

Score: 97.3%

School Rank: 1, City Rank: 3

Coursework: Computer Science with Python, Advanced Mathematics, Physics, Chemistry, Advanced English Literature

March 2019 - June 2021

Experience

Profile

Machine Learning Engineer

CybraneX Technologies

June 2025 - Present

  • Engineered high-throughput RAG inference for QLoRA-tuned LLMs using GPU batching, FP16 quantization, KV-cache reuse, and flash-attention to cut multi-query latency from 110s to 12.2s.
  • Delivered 0.82 queries/sec throughput for 10 concurrent sessions while sustaining 139 tokens/sec in production workloads.
  • Built medicine diagnostic imaging stack (OpenCV, scikit-image, Fourier analysis) plus FastAPI + React interfaces for sub-second clinical triage.
  • Software Engineering Intern

    Yanolja Co Ltd.

    January 2025- June 2025

  • Architected multilingual image-to-image translation for e-commerce, beating baselines by 50% while preserving typography and layouts.
  • Revamped internal LLM-driven code analysis by mining commits/PR diffs, removing 27% of recurring security issues via automated RAG pattern detection.
  • Orchestrated Go + Python + FFmpeg pipelines to compress processing time by 1.3× on high-volume media datasets.
  • AI Engineering Intern

    CybraneX Technologies

    May 2024 - October 2024

  • Engineered AI telemarketing agents that qualified 50K+ daily calls with 89% lead accuracy under 200 ms latency.
  • Built real-time analytics dashboards blending purchase history with geolocation signals to raise inventory turnover by 22%.
  • Accelerated healthcare document extraction from 5s to 0.5s via batch optimization and consolidated pipelines.
  • March 2024 - May 2024

  • Boosted HGCN patient classification accuracy to 96% via tuned forward-pass alpha layers and denoised hyperedge embeddings.
  • Developed self-supervised EEGNet variants for depression and seizure detection, pairing advanced augmentation with targeted hyperparameter sweeps.
  • Standardized data processing for high-dimensional biomedical signals, improving convergence stability across experiments.
  • Volunteering

    Community

    Advisor & Chair

    ACM - PDEU Student Chapter

    July 2023 - June 2025

  • Mentored 50+ developers, steering research meetups and AI build weeks to elevate the university’s maker culture.
  • Curated Automation workshops, DSA Mastery bootcamps, and Code-a-thons with measurable outcomes for freshmen cohorts.
  • Hosted 2-day Selenium + RegEx automation series and shipped hands-on labs for LangChain, Git, and systems design.
  • Partnered with industry mentors for AR/VR jams, Data Science bootcamps, and Code-Fiesta hackathons.
  • October 2021 - April 2024

  • Guided study groups on Git, GitHub, and shell scripting; produced hands-on labs for 150+ learners.
  • Ran Competitive Programming intensives covering problem solving heuristics and contest retrospectives.
  • Coordinated cross-chapter events with GFG mentors to streamline interview preparation.
  • Documentation Head

    Cube-i-Cult

    Oct. 2021 - May 2023

  • Published event recaps, project retrospectives, and SOPs for cube-solving tournaments.
  • Streamlined logistics for national & inter-college competitions, mentoring student volunteers end-to-end.
  • Some of my Youtube videos and blogs

    Aditya

    Let's Talk

    Contact

    Want to connect?
    My inbox is always open!