neural nexus // node 00
> role:
I build intelligent, self-running systems — AI agents, RAG pipelines and automation workflows that remove repetitive work.
node 01 // about
Signals over noise
Final-year B.Tech CS (AI/ML) student at Axis Institute of Technology & Management, Kanpur (AKTU), with 9 months of freelance experience across AI agents, workflow automation, Python and Generative AI.
I specialise in automating processes with AI — LLM integration, RAG, prompt optimisation, technical documentation and streamlining business workflows. Strong in analysis, problem solving and communication, with an interest in AI consulting and business operations.
9+
months freelancing
10+
AI / automation builds
5
core skill clusters
2027
B.Tech graduation
B.Tech CS — AI/ML
Axis Institute of Technology & Management, Kanpur (AKTU)
2023 – 2027 · 70%
Higher Secondary
Patriot Inter College, Unnao — U.P. Board
2023 · 66%
Senior Secondary
Patriot Inter College, Unnao — U.P. Board
2021 · 80.5%
node 02 // skills
Synapse map
Each cluster is a region of the network — hover a node to light it up.
AI / GenAI
Languages & Frameworks
Automation
Data & Analytics
Tools
node 03 // projects
Systems I've wired
NIVEDITA — AI Voice Respond System
05/2025 – 05/2026A modular AI voice agent that understands multi-step spoken requests and executes them across the browser and desktop.
- AI agent capable of executing multi-step user requests
- Integrated LLMs, APIs and automation workflows
- Automated browser and desktop operations
- Scalable modular AI architecture that cut repetitive manual work
Laptop Health Predictor
06/2026An ML dashboard that predicts laptop health from structured telemetry and turns predictions into actionable insight.
- Collected, cleaned and analysed structured datasets
- Feature engineering and model evaluation
- Interactive Streamlit dashboard for data visualisation
- Generated insights to support decision-making
node 04 // experience
Along the axon
AI Model Response Evaluator
Crowdgen · 11/2025 – Present
- Evaluated AI-generated responses for quality, accuracy and guideline compliance
- Reviewed model outputs for relevance, clarity and factual consistency
- Provided structured feedback to improve LLM response quality
AI-ML Virtual Internship
Google for Developers · AICTE–EduSkills · 07/2024 – 09/2024
- 10-week virtual internship in AI & Machine Learning fundamentals
- Project-based learning across the ML lifecycle
- Exposure to Google developer ecosystem tools and practices
Times of India Hackathon 2026 — selected for the semi-final round
Team Leader, SIH Hackathon 2022 — planning, coordination and decision-making
Head Boy 2018, Patriot Inter College
node 05 // contact
Open a channel
Automation, AI agents, ML builds or a collaboration — send a signal.
6 nodes · built with react three fiber