The Software Engineer You're Looking For
I’m a B.Tech Computer Science student at LNMIIT focused on backend engineering, machine learning, and intelligent software systems. My projects span compliance analysis, computer vision, and application infrastructure, all pointing toward one direction: building products where AI and backend foundations work together.
Curious Builder
I like understanding how systems work beneath the surface, not just using tools at a high level. That curiosity shows up in the way I research APIs, models, and architecture before building.
Technical Depth
I work across backend engineering and AI components, from APIs and authentication to embeddings, sequence models, and transfer learning. I’m most engaged when the solution needs both.
Collaborative Mindset
I’ve worked independently and in teams, and I know how to contribute clearly in both settings. In team projects, I take ownership of concrete technical pieces and make them dependable.
Initiative
When ideal resources are missing, I look for practical alternatives instead of stopping. Adapting a GDPR dataset for a DPDP use case is one example of that mindset.
Learning Speed
I learn quickly by building, testing, and connecting concepts across projects. That’s how I moved from course fundamentals into backend systems, AI pipelines, and real-time interfaces.
Consistent Delivery
I work with structure and follow-through rather than bursts of interest. My projects reflect a habit of planning, implementing, and refining until the system works end to end.
I care about turning ambiguous problems into structured, usable systems.
Building Through Systems and Learning
I do my best work when a problem is messy, the data is incomplete, and the solution needs more than a single model or API call. I like breaking systems into components, understanding how they interact, and building products that are both technically sound and usable.
Backend Systems
I build application backbones with clear APIs, authentication, data flow, and testing. I focus on structure that makes software reliable and maintainable.
AI Integration
I integrate machine learning and AI capabilities into usable applications instead of treating models as standalone outputs. My focus is on practical behavior inside real systems.
System Design
I break ambiguous problems into smaller components and design how those pieces work together. That includes pipelines, validation layers, and end-to-end flow.
Applied Research
I research tools, models, and alternatives when the ideal data or setup is not available. I adapt quickly and make practical engineering decisions under constraints.
I want to be brought in for real-world problems that need both backend structure and intelligent behavior to work together.
From Problem to Solution
How I Work
Understand
I start by understanding the real problem, constraints, and what a useful outcome actually looks like.
Clarity before implementation.
Break Down
I divide complex systems into manageable components so each part can be built and tested with purpose.
Complexity becomes structure.
Build
I implement the backend, model logic, and integration layers needed to turn an idea into a working product.
Working systems over isolated pieces.
Refine
I evaluate what works, improve weak points, and iterate until the system behaves reliably in practice.
Iteration is part of engineering.
Building From Day One
A computer science foundation shaped by applied AI, backend systems, and product-focused projects.
B.Tech in Computer Science and Engineering
The LNM Institute of Information Technology (LNMIIT)
- Current CGPA: 8.41/10
- Relevant coursework: DBMS, OOP, ML/DL
- Expected graduation: 2027
Software Engineering Intern
Confidential Product Company
- Researched and built part of a real-time multilingual voice interface prototype
- Implemented Python backend integration with Gemini Live API and WebSocket-based streaming
- Worked on interruption handling, frontend audio flow, and evaluation of conversational experience
Technologies & Tools
Built through coursework, independent projects, and internship work across backend systems, AI, and application development.
Languages
Backend Development
AI & Machine Learning
Testing & DevOps
Data & Modeling
Tools & Platforms
What I've Built
These projects show a consistent pattern: I build systems where backend structure, model logic, and practical usability come together.
DPDP Compliance Analyzer
I built the DPDP Compliance Analyzer as an individual course project to analyze company privacy policies against India’s Digital Personal Data Protection Act. The problem was difficult because a labeled DPDP dataset was not publicly available, so I adapted an existing GDPR dataset and designed a hybrid pipeline instead of relying on a single model. I implemented preprocessing, semantic embeddings with Sentence-BERT, Bidirectional LSTM-based classification, rule-based verification, risk scoring, compliance gap detection, and a Streamlit interface for usability. This project proved that I can take an ambiguous real-world problem, break it into components, and build a practical intelligent system under imperfect data conditions.
Impact: Built independently as a full pipeline system | Solved a real compliance analysis use case with hybrid validation
IndiUrbanClean
IndiUrbanClean was a 3-person computer vision project focused on urban waste classification in an Indian context. We collected and scraped around 2,000 images across 5 classes, then experimented with different modeling approaches including ResNet and transformers. My contribution focused on data collection and training ResNet-18 models, including freezing different layers to compare performance under transfer learning. The project showed that I can contribute meaningfully to applied ML experimentation and evaluate model behavior with a practical engineering mindset.
Impact: 93% accuracy on a held-out test set | ~2,000 images collected across 5 classes
Bugify - Bug Tracking System
Bugify was an individual full stack course project built to understand how application systems work from backend to frontend. The goal was to create a platform where teams could report, manage, and track software bugs through a simple workflow. I implemented REST APIs, JWT-based authentication, MongoDB integration, testing with pytest, and GitHub Actions to run the test suite on every code change, with a lightweight frontend in HTML, CSS, and JavaScript. This project proved that I enjoy building the structural backbone of applications and making software components work together reliably.
Impact: Built independently end to end | Added automated test execution through CI
Let's Build Something Together
I’m open to software engineering roles where backend systems and intelligent application behavior come together. That includes opportunities in backend development, applied AI, and product-focused engineering teams. Based in Jaipur, I’m interested in roles that let me work on real-world problems with strong technical foundations.
"I build intelligent applications that combine backend engineering, AI, and practical product thinking."
— Mahek Shoumil Shah
© 2026 Mahek Shoumil Shah. Transforming visions into reality, one solution at a time.