Vashista C V vasistacv

🧠 About Me

Aspiring Software Engineer and final-year B.E. CSE student at Jain Institute of Technology, Davangere — CGPA 8.8/10, graduating May 2026.

Formerly at ISRO-NRSC, Hyderabad applying AI/ML and Deep Learning to real satellite imagery and climate data at India's National Remote Sensing Centre. A published researcher, poster presentation winner, and 5× intern across Data Science, ML, Python Dev, and AI domains.

"Write code that humans can read, machines can run, and future-you will thank you for."


🎓	B.E. CSE — CGPA 8.8 / 10
🏛️	JIT Davangere (2022–26)
💼	5 Internships + ISRO-NRSC
📄	Published — IJPREMS Dec 2024
🏆	1st Place — Poster Presentation
🚀	Live: projectsamarth.vercel.app
🌐	portfolio-vasistacv.vercel.app
🟢	Open to Work

🪪 Identity Card

📊 GitHub Analytics

🛠️ Technical Stack

💻 Languages & Proficiency

Language	Level	Use Cases
Python	`████████████` Expert	AI/ML · Data Science · APIs · Automation
Java	`██████████░░` Advanced	OOP · DSA · Backend · Spring Boot
C	`████████░░░░` Proficient	Systems · Algorithm Implementation
SQL	`██████████░░` Advanced	DB Design · Complex Queries · Optimization
JavaScript	`██████░░░░░░` Intermediate	Frontend · Node.js · REST APIs

🤖 AI / ML / Deep Learning

Skill	Level
Computer Vision	`████████░░` 85%
Data Science	`█████████░` 90%
NLP / LLMs	`███████░░░` 75%
Cybersecurity	`████████░░` 80%
Machine Learning	`████████░░` Expert

☁️ Cloud · DevOps · Infra

Skill	Level
Full Stack Dev	`█████████░` 92%
SQL / Databases	`█████████░` 95%
Git & DevOps	`█████████░` 91%
Cloud (AWS)	`███████░░░` Learning

🌐 Web · Backend · SWE Core

Skill	Level
OOP + Design Patterns	`████████████` Expert
DSA + Algorithms	`██████████░░` Advanced
System Design HLD/LLD	`████████░░░░` Growing
SOLID + Clean Code	`████████████` Expert

💼 Professional Experience

🗓️ Career Timeline

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🛰️ ISRO-NRSC, Hyderabad — Project Student

🔬 What I Did

Applied AI/ML and Deep Learning to process and classify real satellite imagery and climate data at India's National Remote Sensing Centre — this was software + AI engineering, not space hardware.

Designed 3D-CNN architectures for spatio-temporal pattern extraction from multi-spectral satellite data
Built preprocessing pipelines for large-scale NetCDF climate datasets at ISRO resolution
Applied Transfer Learning to improve model convergence on limited satellite training sets
Collaborated with ISRO scientists on applied AI for environmental monitoring research
Contributed to meteorological forecasting accuracy improvements

🔧 Technologies Used

📊 Domain Tags

🤖 Edunet Foundation — AI / Data Analytics Intern

🔬 What I Did

Built enterprise AI-powered solutions under AICTE × Shell India initiative
Implemented end-to-end ML pipelines: ingestion → preprocessing → training → evaluation → deployment
Applied prompt engineering and LLM integration for intelligent automation
Worked on Fortune 500–standard AI workflows with Edunet's industry curriculum

🔧 Technologies Used

🐍 MotionCut — Python Developer Intern

🔬 What I Did

Built production-ready Python applications applying OOP, design patterns, and clean code
Developed automation tools, data processing scripts, and GUI applications
Strengthened software engineering fundamentals: modularity, unit testing, documentation
Delivered multiple projects demonstrating strong Python engineering practices

🔧 Technologies Used

🧪 Cognifyz Technologies — Machine Learning Intern

🔬 What I Did

Implemented ML models: Random Forest, XGBoost, advanced feature engineering
Ran complete ML workflow: data cleaning → EDA → modeling → hyperparameter tuning → validation
Applied cross-validation strategies for robust, production-ready model evaluation
Achieved strong evaluation metrics through systematic ensemble iteration

🔧 Technologies Used

📊 Brainwave Matrix Solutions — Data Science Intern

🔬 What I Did

Performed comprehensive EDA using Pandas, NumPy, and Excel on real business datasets
Built data visualizations (Matplotlib, Seaborn) and statistical reports for BI reporting
Delivered actionable business insights from raw data for data-driven decision making
Created interactive dashboards for stakeholder consumption and reporting

🔧 Technologies Used

📈 Experience Summary

🚀 Featured Projects

🌧️ Deep Spatio-Temporal 3D-CNN

Rainfall Prediction via Satellite Data

Architecture Pipeline:

Step	Component
📡 Input	Satellite NetCDF Multi-Source Data
🔧 Stage 1	Preprocessing · Normalization · Augmentation
🧠 Stage 2	3D ConvNet Encoder (Spatio-Temporal Maps)
✨ Stage 3	Attention Mechanism Layer
🔁 Stage 4	LSTM Temporal Decoder
🌧️ Output	Rainfall Forecast

Key Highlights:

3D CNN captures patterns across space AND time simultaneously
Multi-source satellite data fusion for higher accuracy
Transfer learning for scarce training data environments
Scalable for real-world meteorological deployment

Impact: Disaster management · Agricultural planning · Meteorology

🌾 Samarth AI — Agricultural RAG

Production AI Advisory for Farmers

Architecture Pipeline:

Step	Component
🌾 Input	Farmer's Natural Language Query
🔍 Stage 1	Semantic Retriever · Vector DB Search
📚 Stage 2	Context Augmentation (Crop/Soil/Market)
🧠 Stage 3	LLM Reasoning + Prompt Engineering
✅ Output	Unit-Aware Agricultural Answer

Key Highlights:

RAG architecture — grounded answers, no hallucinations
Structured agricultural datasets as knowledge base
Unit-aware responses (kg/ha, pH levels, pricing)
Deployed and serving real farmers 24/7

Impact: Democratising precision agriculture through AI

⚡ EV Charging Demand Prediction

R² = 0.94 · Streamlit Dashboard

Architecture Pipeline:

Step	Component
📊 Input	Historical EV Charging Data
🔧 Stage 1	Feature Engineering (Temporal · Location)
🌲 Stage 2	Random Forest Ensemble (500 Trees)
✅ Stage 3	Cross-Validation · Statistical Check
📊 Output	Demand Forecast + Streamlit Dashboard

Impact: EV grid capacity planning · Infrastructure investment

🎭 Deepfake Detection System

88% Accuracy · Hybrid CNN + LSTM

Architecture Pipeline:

Step	Component
🎬 Input	Video File
🎞️ Stage 1	OpenCV Frame-by-Frame Extraction
🔬 Stage 2	ResNet-CNN — Spatial Artifact Detection
⏱️ Stage 3	LSTM — Temporal Inconsistency Analysis
🔀 Stage 4	Feature Fusion Layer
🎯 Output	Fake / Real Classification

Impact: Digital media authenticity · Misinformation prevention

🗳️ Privacy-Preserving Voting System

📄 Published · IJPREMS Dec 2024

Architecture Pipeline:

Step	Component
🗳️ Input	Voter Identity
🔐 Stage 1	ECC Key Generation
🔏 Stage 2	Zero-Knowledge Encryption
⛓️ Stage 3	Blockchain Ledger Write
✅ Output	Anonymous Verified Vote
📊 Final	Transparent Tally

Impact: Secure e-voting · Voter anonymity · Election integrity

🛡️ Self-Healing Cyber Defense System

🥇 1st Place — Poster Presentation, Mysterio 2025

Architecture Pipeline:

Step	Component
🌐 Input	Live Network Traffic Monitor
🤖 Stage 1	ML Threat Classifier (Anomaly · DDoS)
📊 Stage 2	Risk Scorer & Prioritiser
⚡ Stage 3	Autonomous Response Engine
🔄 Stage 4	Self-Healing Protocol Activation
🛡️ Output	Secured Network State

Award: 🥇 1st Place — Poster Presentation, Mysterio 2025, JNNCE Shivamogga

📚 Publications & Research

📄 Peer-Reviewed Publication

"Privacy Preserving Voting System using Elliptic Curve Cryptography"

Proposed a novel blockchain-based voting system integrating Elliptic Curve Cryptography to ensure voter privacy while maintaining full election transparency and cryptographic verifiability.

🏅 Achievements & Certifications

🥇 Poster Presentation Winner

Event: Mysterio 2025 Venue: JNNCE, Shivamogga Category: Poster Presentation

"Self-Healing Cyber Defense System Using Decentralized AI and Secure Cloud Storage"

📄 Published Researcher

Journal: IJPREMS Published: December 2024 Type: International Peer-Reviewed

"Privacy Preserving Voting System using Elliptic Curve Cryptography"

🛰️ ISRO Project Student

Org: ISRO-NRSC City: Hyderabad, Telangana Period: Sep 2025 – Jan 2026

AI/ML Engineering on real satellite data at India's National Remote Sensing Centre

📜 Certifications

🟠 Generative AI

🟣 Data Science

🔵 Engineering & Security

🟢 Quick Stats

🎯 DSA & Problem Solving

✅ Mastered Topics

Topic	Status
Arrays & Strings	✅
Two Pointers & Sliding Window	✅
Linked Lists — Singly / Doubly	✅
Stacks & Queues	✅
Binary Trees & BST	✅
Heaps & Priority Queues	✅
Hashing & HashMaps	✅
Recursion & Backtracking	✅
Sorting — Quick / Merge / Heap	✅
Binary Search All Variants	✅
Dynamic Programming 1D & 2D	✅
Greedy Algorithms	✅
BFS & DFS on Graphs	✅
Union-Find / Disjoint Sets	✅

🔄 Currently Advancing

Topic	Status
Advanced Graph Algorithms	🔄
Dijkstra / Bellman-Ford / Floyd	🔄
Segment Trees & BIT	🔄
Trie & KMP / Z-algorithm	🔄
Bit Manipulation Patterns	🔄
System Design — HLD & LLD	🔄
Java Concurrency & Threads	🔄
Spring Boot Backend Dev	🔄
AWS Cloud Architecture	🔄
CI/CD Pipeline Design	🔄