Engineering Roadmap & History

Project Evolution & Journey

Visual roadmap depicting the progression from early CRUD applications and PostgreSQL relational schemas to local AI systems and robotics telemetry.

—Engineering Roadmap

Project Evolution

A horizontal timeline mapping how each project forced me to learn deeper software engineering abstractions.

Scroll horizontally to view progression

01Project

RyMeds

Built my first large software project for pharmacy inventory & billing.

02Milestone

CRUD

Mastered transactional persistence, REST methods, and data integrity.

03Database

PostgreSQL

Deep dive into SQL schemas, ACID compliance, and concurrency locking.

04Security

Authentication

Engineered JWT authorization and database Row-Level Security (RLS).

05Project

ETLab+

Built multi-tenant institution lab manager. Won Best S3 Project.

06AI Stack

Offline AI Assistant

Discovered Ollama. Benchmarked LLaMA 3.1 & Mistral 4-bit CPU inference.

07Hardware

Robotics

IEEE internship: sensor calibration, complementary filtering, embedded C.

08Active Focus

AI Study Coach

Integrated offline LLMs with real-time learning analytics.

09Vision

Future (Edge AI)

Deploying local vision models and LLMs directly on low-power ARM robotics.

Detailed Journey Milestones

2024

Started CS Engineering & Programming

Began B.Tech in Computer Science at Sahrdaya College. Focused on C/C++ memory mechanics, linear data structures, and foundational algorithms.

Late 2024

RyMeds — First Desktop Project

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Built a medical store inventory and billing system with embedded SQLite database. Awarded Best S1 Project.

Early 2025

ETLab+ — Multi-Tenant Architecture

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Architected college lab management software with PostgreSQL Row-Level Security and role-based permissions. Awarded Best S3 Project.

Mid 2025

Explored Offline Local AI (Ollama)

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Started running quantized LLMs (LLaMA 3.1 8B, Mistral 7B) locally on host RAM via Ollama without cloud APIs.

2026

Robotics Internship (IEEE Sensors Council)

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Analyzed sensor telemetry, implemented software complementary filters for MPU-6050 IMUs, and debugged hardware.

Present

Building Practical AI Systems

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Developing local AI study coaches, offline desktop assistants, and developer productivity tools.

Future Focus

Edge AI & Autonomous Systems

Targeting ultra-low latency quantized model execution on embedded edge hardware and ROS2 robotics nodes.