Sameer Prajapati
0%

Building
intelligent
systems.

I am Sameer Prajapati, a third-year Computer Engineering student at VGEC Gandhinagar. I engineer end-to-end machine learning pipelines, RAG frameworks, and multi-agent AI systems designed to operate predictably and scalably.

Gandhinagar, Gujarat, India
ML EngineerAI Agent DeveloperRAG ArchitectData Scientist
ML EngineerAI Agent DeveloperRAG ArchitectData Scientist
ML EngineerAI Agent DeveloperRAG ArchitectData Scientist
ML EngineerAI Agent DeveloperRAG ArchitectData Scientist
// About

Who I am

A little background on me, my education, and what drives me.

// biography

3rd-year Computer Engineering student at VGEC (2027), passionate about LLMs, agentic AI, and machine learning. I build end-to-end ML applications and AI agents using LangChain, LangGraph, and RAG pipelines - and seek opportunities to contribute to real-world intelligent systems.

I specialize in designing and scaling end-to-end Machine Learning services. Whether it's crafting robust retrieval pipelines (RAG), orchestrating agents with LangGraph, or optimizing statistical models for predictive analytics, I strive to make AI deterministic, performant, and explainable.

Gandhinagar, IndiaStudent & Developer

Education

Expected May 2027

Bachelor of Engineering — Computer Engineering

Vishwakarma Government Engineering College (VGEC)

12th ScienceSheth CM High School & Higher Secondary School, Sector 23, Gandhinagar
84%
10thSheth CM High School, Gandhinagar
96%

Coursework

Machine LearningData Structures & AlgorithmsDatabase ManagementStatistics & ProbabilityObject-Oriented Programming

Interests

Large Language Models (LLMs)LangChain & LangGraphTransformer ArchitecturesRetrieval-Augmented GenerationDeep LearningData AnalyticsOpen-Source MLData Visualization
// Expertise

Skills & Technologies

Tools, methodologies, and frameworks I leverage to design intelligence layers.

Languages

01
PythonSQL

Libraries

02
Scikit-learnXGBoostPyTorchTensorFlowHugging Face TransformersLangChainLangGraph

ML Techniques

03
Supervised LearningSVMFeature EngineeringNLPTF-IDFCosine SimilarityPredictive ModelingModel Evaluation

Data & Visualization

04
PandasNumPyMatplotlibSeabornMicrosoft Power BI

Deployment & Tools

05
StreamlitGitHubJupyter NotebookVercelRenderDocker

Databases

06
MySQLMicrosoft SQL Server
Selected Work

Featured Projects

Swipe to explore

Gita AI: RAG-Powered Spiritual & Mental Wellness Platform

Gita AI: RAG-Powered Spiritual & Mental Wellness Platform

A culturally-rooted AI counselor that uses advanced vector-search architecture to deliver hallucination-free, context-aware philosophical guidance.

PythonFastAPIReactQdrantRAGGemini API
OrchestraML: Agentic ML Pipeline Platform

OrchestraML: Agentic ML Pipeline Platform

An agentic ML pipeline platform built for tech students and developers who understand ML concepts but don't want to write boilerplate sklearn pipelines.

FastAPINext.js 15FLAMLSHAPSupabaseGemini Flash
NASA Spacecraft Telemetry Anomaly Detection System

NASA Spacecraft Telemetry Anomaly Detection System

Detecting anomalies in real NASA SMAP & MSL mission data using BiLSTM, XGBoost and Random Forest with 98.77% ROC-AUC.

PythonXGBoostBiLSTMGANSMOTESHAPStreamlitTensorFlowTime SeriesNASA
Indian Legal AI Assistant - LLM Fine-Tuning with LoRA

Indian Legal AI Assistant - LLM Fine-Tuning with LoRA

Fine-tuned TinyLlama-1.1B on 22,000+ Indian legal records using LoRA & QLoRA. Built and deployed an interactive chat UI on Hugging Face Spaces.

PythonPyTorchHugging FaceLoRAPEFTTRLGradioLLM Fine-TuningNLP
// Credentials

Certifications

Courses and analytics consultant simulations completed to expand my capabilities.

Data Analytics Consultant Simulation

01
Deloitte | ForageJuly 2025
  • Led analysis of 3 real-world business datasets, identifying key trends and delivering structured, client-facing recommendations.
  • Designed and presented 2 KPI dashboards, translating raw data into clear visual narratives for non-technical stakeholders.
  • Demonstrated consulting-style workflow: scoped problem, cleaned data, and delivered findings within a defined timeline.
Data AnalyticsPower BIBusiness IntelligenceConsulting

Data Science & Analysis Program

02
HP LIFEJune 2025
  • Independently implemented and compared 3 supervised ML models (linear regression, decision trees, k-NN), selecting best performer based on F1-score and accuracy metrics.
  • Completed end-to-end ML exercises — data preprocessing, model training, and cross-validation — across multiple algorithm types.
Machine LearningScikit-learnModel EvaluationPython
// Contact

Get in Touch

Have an opportunity, questions about Gita AI, or just want to connect? My inbox is open.

Location

Gandhinagar, Gujarat, India

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