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Hi, I'm Logesh S
Deep Learning &
Machine Learning
Engineer
I design, train and ship deep learning and machine learning systems — production RAG pipelines, on-device LLMs and research-grade computer vision — from PyTorch prototypes to Dockerised FastAPI services.
About Me
Engineering AI that ships, from research to production
Applied AI engineer and startup founder with hands-on experience building production-grade RAG pipelines, on-device LLMs, advanced computer vision systems and research-level deep learning architectures. I ship end-to-end AI applications using PyTorch, TensorFlow, LangChain, FastAPI and Docker. Interned at LongArc and Infosys Springboard, and led a 100+ member technical association as President.
- RAG Pipelines & LLM Apps
- On-device LLMs (GGUF)
- Computer Vision
- Medical Imaging Research
- Test-Time Adaptation
- FastAPI · Docker · MLflow
from fastapi import FastAPI
from retriever import hybrid_search
app = FastAPI()
@app.post("/ask")
async def ask(q: Query):
docs = hybrid_search(
q.text, k=8,
sources=["faiss", "web"])
return llm.answer(q, docs)
# p95 latency: 780ms ✓
4
Industry
internships
internships
PyTorchLangChainVision MambaFAISS
My Skills
The stack I use to take models from notebook to production
GenAI & LLM
LangChainLangGraphLlamaIndexRAG PipelinesHybrid RetrievalPrompt EngineeringEmbeddings & Vector SearchFAISSChromaDBGroq APIOpenAI APIOn-device LLMsGGUF
AI / ML
PyTorchTensorFlowVision MambaTabNetKANComputer VisionNLPTest-Time AdaptationDL ArchitectureFine-tuning
Backend & MLOps
FastAPIFlaskREST APIsDockerdocker-composeMLflowPostgreSQLModel Deployment & Serving
My Projects
11 projects across enterprise, research & GenAI
From supply-chain optimisation tools in production at LongArc, to research-level architectures for medical imaging and autonomous driving, to RAG assistants and on-device LLM apps.
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Want the technical deep-dive? Let's talk
My Experience
Where I've built, founded and shipped
Founder, research engineer and four industry internships — from client delivery to research-level deep learning.
01 / 06
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Numbers that matter
At a glance
Hands-on industry work, research depth and leadership — measured.
4Internships
11+Major & research projects
100+Students led
8.53CGPA
Education & Leadership
Learning, leading and giving back
B.Tech in Artificial Intelligence and Data Science
Kangeyam Institute of Technology
President, Association of AI & Data Science
Managed 100+ members, hackathons and corporate collaborations.
Secretary & Mentor, Rotaract Club
Managed 25+ events. Awarded Best Secretary (RI District 3203).
Certifications