Portfolio — Rev. 2026 — Udupi, Karnataka, India

Sheikh Jawad Nasir Hussain

Full-Stack Engineer Data Analyst

Detail-oriented engineer-analyst who builds the MERN application and reads what its data is trying to say. Comfortable shipping a React interface in the morning and tracing a query bottleneck through MongoDB in the afternoon — with AI-assisted workflows (Cursor, Claude) accelerating both.

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Drawn byS.J.N. Hussain
DisciplineSoftware × Data
LocationUdupi, KA, IN
CGPA9.46 / 10
StatusGraduating 2026
↓ SCROLL — FIG.01 PROFILE
FIG.01Profile

I'm a final-year Computer Science engineer who treats data as a first-class part of the stack, not an afterthought. On the engineering side, that means building production-ready MERN applications — React interfaces, Express APIs, JWT auth, MongoDB schemas designed to actually be queried later, not just written to.

On the analysis side, it means going back into that same data with Python, Pandas, and SQL to find the trend, the bottleneck, or the insight that should change what gets built next. Power BI and Tableau turn those findings into something a stakeholder can act on without reading a single line of code.

I lean on AI-assisted workflows — Cursor AI, Claude AI, prompt engineering — to move faster through both halves of that loop, from rapid prototyping to debugging to dashboard iteration.

9.46/10CGPA, B.E. CSE
2Internships — full-stack & data
3Shipped MERN + ML platforms
20%Page-load reduction delivered
FIG.02Instrumentation

Engineering

Build & ship
JavaScript (ES6+)React.jsNode.js Express.jsREST APIsJWT Auth Tailwind CSSHTML5 / CSS3Python JavaC / C++Git & GitHub

Analysis

Query & interpret
Python (Pandas, NumPy)SQL (MySQL, MongoDB)Power BI TableauMatplotlib / SeabornExcel (PivotTables, VLOOKUP) EDAInferential StatisticsTrend & Correlation Analysis
AI-assisted workflow tooling
Cursor AIClaude AIBolt.newLovable Stitch AIMCP ToolsPostmanJupyter NotebookVS CodeFigma
FIG.03Field Log
Feb 2026 — May 2026

Software & Data Engineering Intern

Genplus Training & Consulting Services Pvt. Ltd. — Remote
  • Built end-to-end MERN features while analyzing the same MongoDB collections for performance bottlenecks and query efficiency.
  • Designed MongoDB schemas that served both application logic and downstream reporting, keeping data clean and queryable from day one.
  • Shipped RESTful APIs that powered the React/Tailwind UI and fed analytics and monitoring dashboards from the same endpoints.
  • Collaborated in Agile sprints where feature prioritization was driven by what the usage data actually showed.
Jul 2025 — Aug 2025

Full-Stack & Data Intern

Prodigy InfoTech — Remote
  • Queried application datasets with SQL and MongoDB to surface performance trends and guide optimization decisions.
  • Built backend APIs that pre-aggregated data server-side, cutting frontend processing overhead and trimming response payloads.
  • Refactored Express routes and MongoDB queries for faster retrieval, then verified the gains with Postman-tested benchmarks.
  • Tracked performance metrics across sprints and turned the frontend findings into a measured 20% reduction in page load time.
FIG.04Schematics

ServiceMate — Home Service Booking Platform

2026

A MERN booking platform where the data model drives the product, not the other way around.

  • Designed the MongoDB schema for bookings, users, and service records to support structured querying and reporting.
  • Analyzed booking trends and user behavior to improve service-matching accuracy and listing logic.
  • Built aggregation APIs surfacing booking volume, status distribution, and demand metrics for operators.
  • Implemented JWT auth and role-based access control across analyst and admin roles.
ReactNode.jsExpressMongoDBJWTRBAC

AI-Powered Pathology Analysis Platform

2025

A full-stack diagnostic tool wrapped around a Python classification model for microscopic pathology images.

  • Integrated a Scikit-learn classification model with Pandas/NumPy preprocessing and EDA to validate image-data quality.
  • Built a pipeline from the ML service into MongoDB to persist predictions and analysis history.
  • Built React dashboards visualizing real-time prediction results and classification metrics.
  • Secured image upload and result access with JWT auth, given the sensitivity of medical data.
PythonScikit-learnReactNode.jsMongoDBJWT

AI Image Generator SaaS Platform

2025

A text-to-image SaaS layer over the Gemini API, instrumented for usage analytics from the start.

  • Modeled user activity, prompt history, and generation records in MongoDB for analytics reporting.
  • Used SQL to aggregate platform usage statistics and surface prompt-pattern trends for product decisions.
  • Built REST endpoints exposing usage data to internal reporting tools.
  • Designed a responsive React/Tailwind UI for prompt-based generation and history browsing.
ReactNode.jsMongoDBGemini APISQL
FIG.05Citations
HACK

National-level hackathon: built a MERN road-damage reporting portal, analyzing citizen-submitted geo-tagged data for local authorities.

LEAD

Directed a team of four engineers building a college project portal — owning data modeling, schema design, and code review.

TEACH

Organized coding and data-focused peer-learning workshops through the college tech club.

COMP

Delivered time-boxed, data-driven solutions across multiple national-level hackathons.

OSS

Contributed bug fixes and feature enhancements to open-source repositories, including data-handling and API modules.

FIG.06Specifications
Bachelor of Engineering — Computer Science & EngineeringYenepoya Institute of Technology, Karnataka
2022 – 2026
CGPA 9.46 / 10
Pre-University — SciencePoornaprajna PU College, Admar, Karnataka
2020 – 2022
89%