Dhruv Kimothi

Dhruv Kimothi

VIT' 26 | Final Year

Jodhpur, IndiaSoftware, data analytics, and artificial intelligence
5roles
41skills
5education
22credentials

About

I’m a final-year Computer Science student who genuinely loves learning, building, and working with people. I’m excited to start my journey with a team where I can grow and contribute to something meaningful and learn every step of theway. I care about doing good work and doing it together by sharing every piece of experience with my fellows.

Experience

Member of IETE

IETE VIT-AP

2 yrs 9 mos

Google Cloud Facilitator Program (Cohort-1)

Google Cloud Arcade Facilitator Program

3 mos · India

Successfully completed the Google Cloud Facilitator Program (Cohort-1), gaining hands-on expertise across core Google Cloud Platform services. Earned multiple Google Cloud skill badges, demonstrating proficiency in cloud infrastructure, data, and machine learning

Summer Internship

Defence Research and Development Organisation (DRDO)

2 mos · Jodhpur, Rajasthan, India

Summer Intern

Defense Research and Development Organization (DRDO)

May 2024–June 2024

Designed and developed a realistic 3D office simulation using Blender, improving rendering efficiency by 25% through optimized lighting and texture mapping. Collaborated with the design and simulation team to automate layout configurations for model scaling and asset reuse.

Business Analytics Intern

Finlatics

June 2024–September 2024

Processed and cleaned over 50,000 data points using Excel and SQL to generate performance insights and KPIs. Built interactive Power BI dashboards using DAX and data models to visualize trends and support strategic decision-making.

Education

VIT-AP University

Bachelor of Technology - BTech, Computer science

Sep 2022 - Jun 2026

CGPA: 8.75

delhi public school jodhpur

Pcm

Apr 2021 - Jul 2022

delhi public school jodhpur

Matriculation

Apr 2019 - Mar 2020

Delhi Public School, Jodhpur

Class 12 (CBSE)

2021–2022

90.8%

Delhi Public School, Jodhpur

Class 10 (CBSE)

2019–2020

94%

Skills

JavaData AnalysisDatabase Management System (DBMS)StatisticsMicrosoft Power BIR (Programming Language)Machine LearningDeep LearningData ScienceMicrosoft Excel3D ModelingData VisualizationBlendermeceHTML5Google Cloud Platform (GCP)Cascading Style Sheets (CSS)MySQLRPower BIExcelPandasNumPyMatplotlibStreamlitScikit-learnPyTorchGitVS CodeJupyterSQLDAXLangChainGoogle GeminiRAGFlaskDistilBERTFastAPINext.jsSHAPServer-Sent Events

Projects

Github Link

Fasal Rakshak (Agentic AI Advisor)

Developed an AI-based advisory system for farmers using LangChain, Google Gemini, and RAG architecture to provide real-time insights based on live weather APIs. Deployed on Streamlit and Telegram for accessibility.

Veritas Engine (Phishing Detection)

Engineered a context-aware phishing detection system by fine-tuning a DistilBERT transformer model, achieving 98% accuracy. Deployed the NLP model as a real-time inference API using Flask.

MalwareGPT (ASM Threat Intel)

Engineered an automated malware classifier analyzing N-gram OpCode heuristics to identify threat families. Built a real-time async API using FastAPI and Next.js, featuring Explainable AI with SHAP and live LLM report streaming via Server-Sent Events.