I'm a final-year Computer Science student specializing in AI & ML at RV University, focused on becoming the kind of engineer who can move from model → API → product → deployment.
I enjoy working where artificial intelligence and software engineering meet: intelligent copilots, ML platforms, voice interfaces, data products, responsive web applications, and systems that turn raw data into something people can actually use.
current_target = Software Engineer / AI Engineer / ML Engineer
engineering = Python + Java + TypeScript + JavaScript
ai_ml = Machine Learning + Applied AI + LLM/RAG systems + Data Science
product = React + Next.js + FastAPI + Flask + REST APIs
infra_data = PostgreSQL + Supabase + Docker + Git + Vercel
location = Bengaluru, India
status = OPEN TO OPPORTUNITIES
I care about the complete engineering loop: understand the problem, build the intelligence, engineer the product, test it, ship it, and make it presentable.
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AI-powered Business Intelligence Copilot A production-style BI workspace that turns live monday.com sales and operations data into deterministic analytics, executive dashboards, and natural-language insights.
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🧠 NoCodeMLVisual Machine Learning Platform A no-code ML system for creating, training, and evaluating models through a product interface instead of requiring users to write the entire ML pipeline themselves.
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🎙️ EchoTypePrivacy-first Offline AI Voice Typing A multilingual desktop voice-typing application that converts speech into clean text and types it directly into desktop applications while keeping the workflow local-first.
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Smart Global Weather Experience A polished responsive weather product with location search, hourly and weekly forecasts, air-quality data, activity insights, and practical daily recommendations.
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Applied Machine Learning + Data Analysis Exploratory analysis and machine-learning models for understanding clinical variables and predicting mortality risk in heart-failure data.
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Responsive Vehicle Rental Product A car and bike rental experience built around a strong visual system, interactive browsing, responsive layouts, motion, and a production-style customer journey.
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flowchart LR
A[Problem] --> B[Research + Design]
B --> C[Data / API / Model]
C --> D[Backend + Logic]
D --> E[Frontend + UX]
E --> F[Test + Iterate]
F --> G[Deploy + Document]
| Layer | What I focus on |
|---|---|
| AI / ML | Useful models, data quality, inference flow, evaluation, intelligent features |
| Backend | APIs, validation, business logic, databases, reliability |
| Frontend | Responsive product UX, clarity, interaction, motion, accessibility |
| Delivery | Git workflows, deployment, README quality, reproducibility, polish |
- 🤖 Building deeper expertise in Applied AI, LLM/RAG systems, ML engineering, and intelligent product development.
- 🧩 Strengthening DSA, problem solving, backend engineering, system design, and production software practices.
- 🚀 Shipping projects that demonstrate end-to-end ownership, not isolated tutorial code.
- 💼 Looking for Software Engineer, AI Engineer, Machine Learning Engineer, and related graduate/internship opportunities.
