KARTIKCHOUHAN
Software Engineer | Full-Stack Developer | AI/ML & Computer Vision
Building intelligent software systems that combine modern web technologies, backend engineering, machine learning, and computer vision to solve real-world problems.
About Me
Background & Focus
Building Intelligent Software Systems.
I am a final-year Information Technology student at Manipal University Jaipur with a strong interest in software engineering, full-stack development, artificial intelligence, and computer vision. I enjoy building end-to-end systems that combine modern web technologies, backend infrastructure, machine learning models, and real-world automation. My projects range from AI-powered review analysis and computer vision applications to full-stack platforms designed to solve practical problems. Currently, I focus on developing scalable software solutions while continuously exploring machine learning, intelligent systems, and backend architecture.
Information Technology student at Manipal University Jaipur focusing on software engineering, full-stack development, AI/ML, and computer vision.
FOCUS
Full-stack development, AI/ML applications, computer vision systems, and intelligent automation.
APPROACH
Building practical software solutions by combining clean architecture, scalable backend systems, and data-driven intelligence.
BEYOND CODE
Active technical community contributor, event organizer, and continuous learner exploring emerging technologies and real-world problem solving.
Featured Projects
Selected Creations & Systems
Engineering Lab
Tinkering with models, scripts, and algorithms
Active Sandbox Experiments
import torch
from transformers import AutoTokenizer, AutoModelForSequenceClassification
def analyze_review(review_text: str):
# Load fine-tuned DeBERTa model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("microsoft/deberta-v3-small")
model = AutoModelForSequenceClassification.from_pretrained("./deceptiscan-model")
inputs = tokenizer(review_text, return_tensors="pt", truncation=True, max_length=512)
with torch.no_grad():
outputs = model(**inputs)
probs = torch.softmax(outputs.logits, dim=1)
# Returns probability of review being deceptive (Class 1)
return probs[0][1].item()
prob = analyze_review("Excellent product! Very highly recommended.")
print(f"Deceptive Probability: {prob:.4f}")Inference runner for DeceptiScan. Loads a fine-tuned DeBERTa-v3 sequence classification model using Hugging Face Transformers to evaluate and output the probability of a product review being deceptive.
Skills & Technologies
Expertise Depth & Domain Map
AI & Machine Learning
Backend & Data
Frontend
DevOps & Tools
Engineering
Career Journey
Timeline of Experiences & Milestones
Professional Certifications
achievementAcquired foundational industry certifications including the Meta Backend Developer Professional Certificate, Meta JavaScript Certificate, IBM Data Analysis with Python, and Oracle Database Programming with SQL to strengthen my programming and data infrastructure skills.
Senior Coordinator
workAs Senior Coordinator of the LearnIT club, I organized various technical workshops, coding competitions, and hackathons. Coordinating volunteer committees and event logistics allowed me to impact over 400 students while fostering a culture of collaborative peer-to-peer technical learning.
B.Tech — Information Technology
educationPursuing my Bachelor of Technology degree with an 8.62 CGPA. Core coursework covers data structures, algorithms, databases, operating systems, and computer networks, complemented by elective focus in machine learning and computer vision architectures.
CBSE Class XII
educationCompleted senior high school education under the CBSE board. Rigorous training in physics, chemistry, and mathematics established the strong logical thinking and problem-solving framework required for my engineering degree.
CBSE Class X
educationCompleted secondary high school under the CBSE board, scoring highly across science and computing classes. This period sparked my early curiosity about computer science, software logic, and automated systems.
Contact Me
Get in touch or start a project
Let's build something intelligent.
Whether you need to scale an ML inference pipeline, orchestrate a high-throughput distributed backend, or build a responsive interface, I'm always open to discussing new opportunities.