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👋  Hi there! I'm

Channabasavanna
Santosh Pawate

AI Software Engineer — building production systems with Python, LLMs, RAG pipelines, and machine learning. MSc AI (Merit), Coventry University.

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4+Years Exp.
97.6%F1 Score
60%Faster Support
4Live Systems
inference.py
1# FastAPI · ViT-B/16 · SHAP — production
2
3from fastapi import FastAPI, UploadFile
4import torch, shap
5
6app   = FastAPI()
7model = torch.load("vit_covid.pt").eval()
8
9@app.post("/predict")
10async def predict(img: UploadFile) -> dict:
11  tensor = preprocess(await img.read())
12
13  with torch.inference_mode():
14    probs = model(tensor).logits.softmax(-1)
15
16  return {
17    "label":    LABELS[probs.argmax()],
18    "confidence": f"{probs.max():.1%}",
19    "f1_score":  "97.6%", # ← production ✓
20  }
About Me

Who I am

Python developer with 4+ years of hands-on experience building and shipping production software. I've owned projects end to end — from REST API backends serving live e-commerce traffic to ML pipelines explaining their own predictions, RAG systems cutting support response times, and deep learning models deployed as FastAPI services with full Explainable AI outputs.

MSc in Artificial Intelligence (Merit) — Coventry University, graduated 2026. My dissertation achieved 97.6% weighted F1 on a COVID-19 X-ray detection task using Vision Transformer, with a complete SHAP and Grad-CAM explainability pipeline and production deployment.

Graduate Visa holder. Available immediately. Open to relocation anywhere in the UK.

LocationCoventry, UK
VisaGraduate Visa — valid until July 2028
AvailabilityImmediately available
EducationMSc Artificial Intelligence (Merit) — Coventry University
BE Information Science — VTU, India
GitHubgithub.com/appupawate2908
Tech Stack

Skills & Technologies

Tools and technologies I work with across AI, backend, frontend, and infrastructure.

Tech stack

Python & AI

FastAPIPandasNumPyScikit-learnPyTorchSHAPGrad-CAMPytest

LLMs & RAG

LLM APIsRAG PipelinesChromaDBGeminiClaudeGroq / LlamaVision Transformer

Frontend & Infra

ReactNext.js 15TypeScriptTailwind CSSDockerGitHub ActionsAzureLinux VPS
Experience

Work History

4+ years of production experience across AI, backend, and full-stack engineering.

January 2021 – April 2025

AI Software Engineer

Lakshmi Silk House Consultancy — Karnataka, India

  • Built and maintained a Python FastAPI REST API backend serving a live e-commerce platform — MySQL, Docker, Linux VPS, GitHub Actions CI/CD. Four years of continuous live traffic with zero unplanned downtime.
  • Developed a production RAG pipeline using Qwen 3.5B LLM and ChromaDB — semantic retrieval over structured business documents, cutting support response time by 60%.
  • Built an ML return prediction pipeline — Random Forest (85% accuracy), full feature engineering on large retail datasets, SHAP explainability outputs, Streamlit management dashboard.
  • Built an AI Catalog Generator with Next.js 15 and React 19 — TypeScript frontend integrated with Gemini 2.5 Flash Image API, reducing catalogue asset production time by 70%.
  • Managed Linux VPS infrastructure — Docker containers, deployments, monitoring — and maintained SQL databases across multiple production systems.

August 2025 – Present

Student Ambassador

Coventry University — Coventry, UK

  • Represented Coventry University at open days, offer holder events, and campus tours — engaging with prospective students and families to communicate course offerings and student life.
  • Delivered one-to-one guidance to prospective postgraduate students on MSc AI and technology programmes, drawing on direct experience of the course and research environment.
  • Assisted the admissions and marketing team in coordinating large-scale events, managing visitor flow, and ensuring a positive experience for hundreds of attendees per event.
  • Supported international student outreach — answered questions on visa requirements, accommodation, and campus facilities for prospective students from overseas.
  • Acted as a trusted point of contact for new students, providing peer-level insight into academic expectations, research culture, and university support services.
Projects

Selected Work

Production systems and research projects across AI, ML, and full-stack development.

01

Production RAG Pipeline

Semantic retrieval system over structured business documents. Qwen 3.5B LLM with ChromaDB vector store, served via FastAPI, containerised with Docker for production deployment.

↓ 60% reduction in support response time

PythonFastAPIQwen 3.5BChromaDBDocker

02

COVID-19 X-Ray Detection

Vision Transformer (ViT-B/16) for COVID-19 detection from chest X-rays. Full Explainable AI pipeline — SHAP and Grad-CAM — with FastAPI inference endpoint and React frontend.

97.6% weighted F1 — MSc Dissertation

PyTorchViT-B/16SHAPGrad-CAMFastAPIReact
View on GitHub →

03

AI Catalog Generator

Next.js 15 / React 19 TypeScript frontend integrated with Gemini 2.5 Flash Image API for automated product catalogue asset generation at scale.

↓ 70% faster catalogue production

Next.js 15React 19TypeScriptGemini APITailwind
View on GitHub →

04

ReviseAI Study Bot

LLM-powered PDF ingestion pipeline — semantic chunking, automated flashcard and summary generation via Groq API (Llama 3.3 70B), with text-to-speech output.

Document → flashcards in seconds

PythonGroq APILlama 3.3 70BPyMuPDFgTTS
View on GitHub →
Education

Academic Background

MSc Artificial Intelligence and Human Factors — Merit

Coventry University — Coventry, UK

Dissertation: COVID-19 X-ray detection using Vision Transformer (ViT-B/16) — 97.6% weighted F1, full Explainable AI pipeline (SHAP + Grad-CAM), production FastAPI + React deployment.

Graduated 2026

Bachelor of Engineering — Information Science & Engineering

Visvesvaraya Technological University — India

Completed
Contact

Let's work
together.

Graduate Visa holder. Available immediately. Open to relocation anywhere in the UK.

Emailcpawate@gmail.com→ Phone+44 7833 861349→ GitHubgithub.com/appupawate2908→ LinkedInlinkedin.com/in/cpawate→