// AI/ML · GenAI · Python · SQL

Santhosh
S S

ECE undergraduate (2026) building GenAI and machine learning projects. I work with RAG pipelines, FAISS, HuggingFace and Google Gemini, and I'm growing into Azure AI, LangChain, FastAPI and Knowledge Graphs.

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01 — Skills

Technical Skills

GenAI & Agentic AI

RAG PipelinesFAISSHuggingFace EmbeddingsGoogle GeminiNLP Text NormalizationDocument Chunking

Machine Learning

Scikit-LearnTensorFlowOpenCVRegressionClassificationPCAK-Means

Programming

PythonSQLC++PandasNumPyMatplotlibSeaborn

Data & BI

EDAData CleaningPower BIExcelTableau (Beginner)Web Scraping

Databases

PostgreSQLOracle SQLSnowflakeJoinsAggregations

Embedded & Tools

ESP32Raspberry PiArduinoSensorsGitGitHubDockerLinux

Currently Learning

Azure AILangChainFastAPIKnowledge Graphs

02 — Experience

Experience & Training

AUG 2025 — PRESENT

Python Data Science Trainee

QSpiders · Bengaluru
  • Data cleaning, preprocessing, EDA and statistical analysis on structured datasets.
  • Built and evaluated Scikit-Learn models for classification and regression.
  • Queried and aggregated SQL data; built dashboards with Power BI and Python.
JUL 2025 — AUG 2025

Odoo ERP Developer Intern

Fudo Technologies Pvt Limited · Bengaluru
  • Worked with PostgreSQL, SQL queries and backend reporting workflows.
  • Built ERP customizations involving data validation and automation.
  • Used Docker and Linux for deployment, testing and database management.

03 — Projects

Featured Projects

GenAI
01

Money Mentor

A GenAI project built with large language models. Add 1–2 lines here on what it does, who it helps, and what you built.

PythonGenAILLM
GenAI
02

GenAI Document Retrieval & RAG Pipeline

Built a Retrieval-Augmented Generation pipeline with NLP text normalization, document chunking and FAISS semantic search. Integrated HuggingFace embeddings with Google Gemini for context-aware answers and validated retrieval accuracy through structured testing.

PythonFAISSHuggingFaceGeminiNLP
ML + Embedded
03

Fruit Spoilage Detection System

Integrated an NIR sensor and camera with an ESP32 and Raspberry Pi to collect real-time data, then applied machine learning on sensor and image data to detect spoilage patterns and improve prediction accuracy.

ESP32Raspberry PiNIR SensorCameraTensorFlow
Computer Vision
04

ML Based Tree Detection System

Prepared datasets and handled preprocessing, training, testing and evaluation of an object detection model. Analyzed performance metrics to improve inference accuracy.

YOLOPythonOpenCV
Data Analytics
05

Sales Performance Dashboard

Explored sales data to find trends, customer behavior and revenue opportunities, and built KPI dashboards for business decision support.

PythonSQLPower BIExcel

04 — Education

Education & Certifications

B.E. Electronics & Communication Engineering

G M Institute of Technology, Davangere · 2022 — 2026

7.7 / 10CGPA
NPTEL — Joy of Computing using Python (2023)
Udemy — Django Framework (2025)

05 — Contact

Open to AI/ML Opportunities

Looking for AI/ML and GenAI intern roles. Feel free to reach out.