AI-Driven Web Applications
Python · JS · APIs
Design and build full-stack applications that integrate ML models into intuitive web interfaces with clear KPIs and metrics.
Available for AI & ML roles
Front-end & AI Developer
Hi, I’m Abhinav Charan.
Building AI-native web experiences for real-world products.
I’m a front-end and AI/ML developer based in Hyderabad, specializing in end-to-end development of AI-driven web applications, NLP pipelines, and computer vision tools that move from prototype to production.
15
AI & data projects
500+
Users impacted
6
Major certifications
3
Years in AI & ML
Professional summary
Turning ideas into intelligent systems.
With a strong foundation in Computer Science (AI & ML), I build AI-powered products that are practical, maintainable, and measurable in impact.
As an AI & ML Developer, I work on the full lifecycle of AI-driven applications — from exploratory data work and model experimentation to production-ready APIs and interactive interfaces.
My recent focus has been on:
- AI-powered web applications combining Python, JavaScript, and modern ML stacks.
- Natural language understanding, text classification, and prompt-engineered workflows.
- Computer vision pipelines using OpenCV, optimized for performance and latency.
- Developer experience — clean abstractions, strong documentation, and reproducible experiments.
Focused on
shipping reliable AI for real users
— not just demos.
B.Tech CSE (AI & ML)
Sphoorthy Engineering College
I enjoy collaborating with product teams, designers, and engineers to ship features that feel simple on the surface and sophisticated under the hood.
Skills
Tech stack I reach for.
A balance of backend, AI, and frontend tools that helps ship reliable AI-powered applications without blocking on infrastructure.
Languages & Core
Machine Learning
Product & Delivery
Ecosystem & Tools
Services
What I help teams build.
From prototype to production, I collaborate with product teams, startups, and engineering groups to design and deliver AI-enabled features that are robust, observable, and user-focused.
NLP & Text Intelligence
NLP · LLMs
Build pipelines for classification, semantic search, and text analytics using classical NLP and modern LLM tooling.
Computer Vision Prototypes
OpenCV · CV
Create performant vision systems for transformation, analysis, and visual effects using OpenCV and modern techniques.
Data Analytics & Dashboards
Analytics
Translate raw data into dashboards and insights using Python, SQL, and visualization libraries tailored to your team.
Model Integration & APIs
API design
Wrap models behind efficient APIs, manage inputs/outputs, and ensure reliability, observability, and version control.
AI Prototyping for Startups
Discovery
Rapidly prototype AI features, validate feasibility, and help teams choose the right technical stack for launch.
Selected work
Recent projects & experiments.
A selection of AI-driven projects, web applications, and experiments that showcase how I approach data, UX, and performance.
AI & ML
Web applications
NLP & CV
AI-Driven Virtual Interior Designer
End-to-end app
Context-aware interior design suggestions
Web-based AI assistant that analyzes room photos and user preferences to propose 5–10 tailored interior layouts per session, with 3D visualization support.
Streamlit
OpenCV
PIL
GPT APIs
≈ 40% latency reduction on pipeline.
NLP Text Classification Suite
NLP pipeline
Linguistic analysis for smarter classification
NLP pipeline leveraging morphological analysis and n-gram features to improve text classification precision with detailed evaluation dashboards.
NLP
Classification
Python
+12% precision uplift on benchmark.
Image Cartoonizer
Computer vision
Stylized cartoon effects for images
Streamlit application turning user-uploaded photos into high-clarity cartoon visuals with KMeans-based color clustering and OpenCV filters.
OpenCV
KMeans
Streamlit
≈ 30% clarity improvement on outputs.
AI-Ready Data Analytics Workspace
Analytics
Reusable analytics workflows
Modular notebook and script setup for rapid experimentation across regression, classification, and time-series forecasting tasks.
Pandas
Scikit-learn
ARIMA
Faster experimentation across tasks.
Interactive ML Learning Tools
Education
Visual playgrounds for ML concepts
Interactive demos for learners to experiment with models, parameters, and datasets, bridging the gap between theory and practice.
Education
Visualization
Designed for classrooms & teams.
API-First AI Integration Starter
Architecture
Blueprint for AI feature integration
A reference structure for safely connecting ML models to products using well-defined API boundaries, logging, and version control.
APIs
Best practices
Reusable architecture base.
Resume
Experience & education at a glance.
A quick overview of my background, recent experience, and core capabilities. Full CV is available on request.
Education
B.Tech in Computer Science & Engineering (AI & ML)
Coursework includes Data Structures, Algorithms, Machine Learning, Database Management, Software Engineering, and Operating Systems — with a practical focus on building AI-enabled applications.
Continuous learning
AI & Cloud Virtual Internships & Programs
Participated in industry programs focused on data analytics, cloud-native tooling, and AI/ML best practices aligned with production environments.
Domain strengths
Applied machine learning and model evaluation.
End-to-end software development practices.
Relational databases and data modeling.
Operating systems and performance awareness.
Strong academic + practical balance
Production mindset
Prototype · Short-term
Prototype
1 focused AI/ML feature or experiment. Rapid prototyping and demo-ready UI. Ideal for validating an idea.
Start a small sprintProduct · Project-based
Product
End-to-end feature or small product with metrics, monitoring, and documentation. Perfect for startups & teams.
Plan a projectCollaborate · Ongoing
Collaborate
Part-time collaboration or internship with a backlog of experiments & improvements. Best for long-term teams.
Discuss availabilityTestimonials
Feedback from collaborators.
A few words from the people I’ve worked with across internships, projects, and collaborative initiatives.
“Abhinav quickly became a dependable contributor. He understands requirements, asks sharp questions, and consistently ships features that behave well in production.”
“He stands out for his curiosity and follow-through. From NLP experiments to vision projects, Abhinav is thorough, reflective, and willing to iterate until the solution feels right.”
“Working with Abhinav is easy. He documents decisions, keeps the repo organized, and is always thinking about the next improvement we can make for users.”
Insights
Thinking out loud in code.
Short write-ups and ideas on AI, engineering, and the craft of building reliable systems.
AI Engineering · Practice
From notebook to product: bridging AI prototypes and real users.
A practical look at what it takes to move from notebooks and demos to user-facing experiences that can actually be maintained.
Request a draft →NLP · Text
Why linguistic detail still matters in modern NLP systems.
Even with large language models, there’s value in classic NLP ideas like morphology and n-grams when you care about precision.
Explore NLP ideas →Computer vision · UX
Designing vision features that feel playful, not overwhelming.
Lessons from building an image cartoonizer and interior designer that users actually enjoy experimenting with.
Chat about CV UX →Contact
Let’s build something together.
Share a bit about your idea, dataset, or product and I’ll get back with thoughts on scope, feasibility, and next steps.
Response time: within 1–2 business days.
Direct contact
Email: abhinavcharangoud8@gmail.com
Phone: +91-9912869866
WhatsApp:
Quick questions welcome
LinkedIn — professional updates
GitHub — code & experiments
Hyderabad, India · Remote-friendly