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.
Dhruv Kimothi
Computer Science Student
Software, Data Analytics, and Artificial Intelligence
2roles
24skills
3education
2credentials
About
Final-year Computer Science student passionate about building scalable software and data-driven applications, with skills in data analysis and AI-based solutions.
Experience
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
B.Tech, Computer Science and Engineering
2022–2026
CGPA: 8.75
Delhi Public School, Jodhpur
Class 12 (CBSE)
2021–2022
90.8%
Delhi Public School, Jodhpur
Class 10 (CBSE)
2019–2020
94%
Skills
JavaMySQLRPower BIExcelPandasNumPyMatplotlibStreamlitScikit-learnPyTorchGitVS CodeJupyterBlenderSQLLangChainGoogle GeminiRAGFlaskFastAPINext.jsSHAPDAX
Projects
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 using N-gram OpCode heuristics to identify threat families. Built a real-time asynchronous API using FastAPI and Next.js with Explainable AI using SHAP and live LLM report streaming via Server-Sent Events.