BUILDING
INTELLIGENT SYSTEMS.
"I'm Shwetank Dubey, a B.Tech Computer Science Engineering student specializing in Artificial Intelligence & Machine Learning. I build AI-powered applications, computer vision experiences, recommendation systems and practical software solutions."
ENGINEERING WITH INTELLIGENCE.
Combining computer science fundamentals with artificial intelligence to solve real-world engineering problems.
Shwetank Dubey
"I am a motivated B.Tech student specializing in Artificial Intelligence & Machine Learning at Parul University. I enjoy transforming ideas into working products using machine learning, computer vision, and practical software development."
PlacementGPT
AI-powered career platform designed to assist students with resume ATS scoring and interview prep.
India
Vadodara, Gujarat, India. Open to relocation and remote software engineering opportunities.
TECHNICAL TOOLKIT.
Categorized skill matrix mapping engineering competence across core AI/ML, computer vision, web, database, and computer science fundamentals.
01 — PROGRAMMING
02 — AI / ML
03 — WEB DEVELOPMENT
04 — DATABASE
05 — TOOLS
06 — CORE COMPUTER SCIENCE
Machine Learning
Supervised and unsupervised learning, classification, regression algorithms, and feature vector space modeling.
SELECTED WORK.
AI systems, computer vision experiments and real-world digital products.
HandFX
Real-time hand tracking application using MediaPipe and OpenCV. Detects 21 hand landmarks, builds a glowing hand skeleton and creates interactive energy beams and particle effects.
AI Terminal Assistant
Built a terminal-based AI assistant with voice input and conversational AI using the OpenAI API.
CineMatch AI
Content-based movie recommendation system built with Python, Pandas and Streamlit.
PlacementGPT
AI-powered career platform designed to assist students during their placement journey with resume ATS scoring, cover letter generation, and interview preparation.
RSAKHI SOCIETY
Developed and deployed a responsive GIS and Remote Sensing website featuring dynamic service, project, gallery and organizational content with Supabase data management.
SHWETANK AI LAB.
EXPERIMENTING WITH INTELLIGENCE — A dark interactive laboratory interface displaying connection trees between skills, projects, and machine learning models.
COMPUTER VISION
EXPLORATION FOCUS
Real-time gesture analysis, 3D landmark extraction, and spatial human-computer interaction using lightweight neural pipelines.
TECHNOLOGIES
KEY CONCEPTS
EXPERIMENT SNIPPET
import cv2
import mediapipe as mp
hands = mp.solutions.hands.Hands(min_detection_confidence=0.8)
cap = cv2.VideoCapture(0)
while cap.isOpened():
ret, frame = cap.read()
results = hands.process(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
if results.multi_hand_landmarks:
for lm in results.multi_hand_landmarks[0].landmark:
print(f"Joint (x={lm.x:.2f}, y={lm.y:.2f}, z={lm.z:.2f})")FUTURE RESEARCH DIRECTION
→ Exploring 3D hand mesh reconstruction and real-time head-pose estimation for spatial interface control.
FROM IDEA TO DEPLOYMENT.
Horizontal engineering workflow governing AI product development from initial problem formulation down to production Vercel edge deployment.
PIPELINE STAGE: IDEA
Defining real-world pain points in AI, computer vision, and modern user workflows.
CURRENTLY EVOLVING.
Continuous technical progression trajectory from core computer science to modern artificial intelligence and full-stack software delivery.
FOUNDATIONS
Building strong computational logic, memory efficiency, and data structures.
AI / ML & VISION
Developing spatial gesture tracking, feature matrix vectorization, and prediction models.
ADVANCED AI & RAG
Exploring RAG pipelines, LLM context integration, and document embeddings.
FULL STACK ENGINEERING
Connecting AI backends with production web interfaces and edge hosting.
ENGINEERING ACHIEVEMENTS.
Grounded accomplishments demonstrating consistent problem solving, code quality, and hands-on project execution.
Built multiple AI projects solving real-world problems.
Consistent in solving DSA problems on LeetCode.
Active contributor to personal projects on GitHub.
Quick learner with strong problem-solving skills.
EDUCATION TIMELINE.
B.Tech Computer Science Engineering specializing in Artificial Intelligence & Machine Learning at Parul University.
Parul University
1st Year — CS & Programming Foundations
Enrolled at Parul University, Vadodara, Gujarat. Initiated core computer science fundamentals and programming focus.
2nd Year — AI / ML & Computer Vision
Deepened machine learning algorithms, statistical data analysis, and computer vision spatial tracking engines.
3rd Year — Full-Stack AI Products & Generative AI (CURRENT)
Studying in 3rd year in Parul University Vadodara Gujarat. Building production-grade web applications, deploying GIS systems, and LLM career tools.
4th Year — Advanced System Engineering & Research
Specializing in scalable AI backends, RAG vector database integration, and high-performance computing pipelines.
Graduation — B.Tech CSE (AI & ML)
Graduating with strong specialization in Artificial Intelligence, Machine Learning, Computer Vision, and Software Engineering.
MY ENGINEERING PROFILE.
Comprehensive overview of academic background, technical skills matrix, and verified project accomplishments.
Shwetank Dubey
AI & ML Enthusiast • Parul University
- Built multiple AI projects solving real-world problems.
- Consistent in solving DSA problems on LeetCode.
- Active contributor to personal projects on GitHub.
- Quick learner with strong problem-solving skills.
LET'S BUILD SOMETHING INTELLIGENT.
Open for internships, AI/ML engineering positions, software projects, and technical discussions.