AC
BUILDING MACHINES THAT UNDERSTAND | TURNING DATA INTO DECISIONS | TEACHING SYSTEMS TO FIND THE SIGNAL | AI × DATA × CREATIVITY | FROM PROBLEM → SYSTEM → SOLUTION | CODE IS THE TOOL. THINKING IS THE ENGINE. | ENGINEERING INTELLIGENCE, NOT JUST SOFTWARE | WHERE LOGIC MEETS STORYTELLING | BUILD. BREAK. ITERATE. REPEAT. | CURIOUS BY DEFAULT. | ALWAYS BUILDING SOMETHING.

About

Engineering Depth, Creative Intent

I'm an AI engineer and creative technologist interested in building intelligent systems that are technically rigorous, useful in practice, and thoughtfully designed.

My work sits at the intersection of artificial intelligence, software engineering, data, and storytelling. I enjoy going deep into a problem — understanding how a system should work, building it, testing it, and finding ways to make the experience around it feel simple.

About

How I Build

A signal-driven engineering workflow that starts with problem clarity and ends with reliable delivery.

  1. Understand

    Understand the problem before choosing the technology.

  2. Model

    Translate the problem into a system that can be reasoned about.

  3. Build

    Turn the architecture into working software.

  4. Test

    Validate behavior instead of assuming correctness.

  5. Break

    Find where the system fails.

  6. Iterate

    Refine based on evidence.

  7. Ship

    Turn the solution into something usable.

01

Philosophy and Motivation

How I think about building, and why I choose the problems I choose.

Engineering Philosophy

I prefer understanding the system before optimizing the solution. I build with clear architecture, small validated iterations, and measurable outcomes — because good engineering should remain understandable, testable, and maintainable.

What Drives Me

I'm drawn to problems where technology can turn complexity into clarity. I care less about building something simply because it is technically impressive, and more about whether it solves a real problem and creates something people can actually use.

02

Interests, Education, and Current Focus

The ideas, technologies, and creative disciplines shaping what I build next.

Technical Interests

  • AI Engineering & Generative AI
  • LLM and RAG system design
  • Document intelligence and retrieval
  • AI agents and intelligent workflows
  • Data-driven product engineering
  • Full-stack AI applications

Education

  • B.Tech in Artificial Intelligence & Data Science
  • Gati Shakti Vishwavidyalaya, Vadodara
  • Specialization in Transportation & Logistics
  • Building a foundation across AI, data, software engineering, and real-world transportation systems.

Creative Interests

  • Storytelling through cinema and writing
  • Screenwriting and narrative design
  • AI × Film & Media
  • Visual storytelling and digital experiences
  • Exploring the intersection of technology and human emotion

Current Focus

  • Building deeper expertise in AI engineering
  • Developing retrieval-first and agentic AI systems
  • Turning research experiments into usable products
  • Strengthening production-grade software engineering
  • Exploring AI applications across creative and media industries
03

Personal Timeline

A concise arc of how my perspective and practice have evolved.

  1. The Foundation

    From Curiosity to Engineering

    Started by exploring how software and digital systems work, gradually developing a stronger foundation in programming, data, and problem solving through academic projects and experimentation.

  2. Real-World Exposure

    Learning Beyond the Classroom

    Internships and real-world projects introduced me to the difference between building something that works and building something that can actually be used, maintained, communicated, and improved.

  3. The AI Shift

    From Building Software to Building Intelligence

    Moved deeper into artificial intelligence, exploring machine learning, NLP, retrieval systems, generative AI, and intelligent workflows — with a growing focus on understanding systems rather than simply using models.

  4. The Builder

    Turning Experiments Into Systems

    Began building more ambitious systems across document intelligence, AI agents, recommendation engines, automation, and full-stack applications — focusing increasingly on architecture, evaluation, and real-world usability.

  5. The Creative Thread

    Where Technology Meets Storytelling

    Alongside engineering, I kept returning to writing, cinema, and storytelling. That creative practice changed how I think about technology — not only as something to engineer, but as something that can communicate, create emotion, and shape experiences.

  6. Now

    Building at the Intersection

    Today, I'm focused on becoming a stronger AI engineer while exploring the intersection of intelligent systems, product engineering, and creative technology — building things that are technically deep, practically useful, and distinctly human.

BEYOND THE SYSTEM

The work, people, and experiences that shaped how I build.

01 / LEADERSHIP

Co-Coordinator - Drama Club, GSV

Coordinated and directed stage plays and reel-film activities, working across creative teams to bring performances from concept to execution.

Co-Coordinator Public Relations- Literary Club, GSV

Managed public relations activities for the Literary Club, coordinating with media and promoting events, ensuring effective communication and engagement on social media handle of Literary Club GSV.

Organizing Team - Hult Prize GSV

Contributed to the organizing team for the campus edition of the Hult Prize, supporting event coordination, logistics, and participant engagement.

02 / RECOGNITION

ET GenAI Hackathon

SEMI-FINALIST

Advanced to the semi-final round of the Economic Times GenAI Hackathon.

Indian Air Force Workshop

40+ PARTICIPANTS

Conducted a Power BI training workshop for 40+ Indian Air Force officers, focusing on data visualization and analytical dashboard development for strategic decision-making.

03 / LEARNING

NVIDIA

Fundamentals of Deep Learning

NVIDIA

Computer Vision for Industrial Inspection - 2025

IBM

AI Fundamentals

IBM

Prompt Engineering for Everyone

Core Belief

Technology is how I solve problems.

Creative Compass

Creativity is how I decide what is worth building.

The strongest work happens at the intersection of technical rigor and human understanding. I want to build systems that are not only capable, but meaningful, intuitive, and worth using.