Software Development Intern at DigiVal IT Solutions | B.Tech CSE 2026 | Building full-stack web applications with React.js, Node.js, and Python — driven by clean code and reliable systems.
Download CVI'm Syed Ishaq — a Computer Science graduate (CGPA 9.05/10) from KSRM College of Engineering, Andhra Pradesh. Currently working as a Software Development Intern at DigiVal IT Solutions Pvt. Ltd., Chennai, where I contribute to full-stack development tasks involving RESTful APIs, frontend-backend integration, debugging, and feature delivery across the SDLC. I specialize in building scalable web applications using React.js, Node.js, Express.js, FastAPI, and MongoDB. I hold Oracle Cloud certifications in AI and Generative AI, along with a ServiceNow CSA credential. I learn fastest by shipping real products — then refining them until the code is clean, the UX is smooth, and the system holds up under real traffic.
Get In TouchTechnologies and tools I work with on a daily basis
C
Java
Python
MySQL
HTML5
CSS3
JavaScript
Bootstrap
React
Node.js
Express
Django
Fast API
MongoDB
NumPy
Scikit-learn
Pandas
matplotlib
NLTK
AWS
Salesforce
ServiceNow
Power BI
MS Excel
Jupyter
VS Code
GitAug 2022 — Apr 2026
Bachelor of Technology — Computer Science
Jul 2020 — May 2022
Intermediate — MPC
Mar 2020
Secondary School Certificate
May 2026 — Present · Chennai, Tamil Nadu
Full-stack applications built with real authentication, payments, and deployment
Built a full-stack Learning Management & Assessment platform (React + Vite + TailwindCSS frontend, Node.js/Express + MongoDB backend) featuring OTP email verification, JWT auth with refresh tokens, role-based access (admin/user), quiz & coding assessments, assignment management, submission review, dashboards, and monthly reporting — deployed on GitHub Pages + Vercel.
Built a MERN-based food ordering app (user + admin panels) with JWT authentication, cart + order management, and Stripe payment integration.
Built an AI-powered support desk using Node/Express + MongoDB + React with Inngest to run ticket triage asynchronously via Google Gemini, enabling auto priority/tag extraction, skill-based moderator routing (RBAC), and email notifications, while reducing API latency ~60%.
Built a full-stack stock analytics dashboard using React and Django REST Framework, featuring JWT authentication, real-time stock charts, watchlist management, and ML-based price forecasting (Linear Regression/LSTM) via API-driven predictions.
Built an end-to-end analytics pipeline on 3,900+ retail records: performed Python ETL + feature engineering, wrote advanced SQL (CTEs, window functions) for segmentation and revenue insights, and delivered an interactive Power BI dashboard with DAX KPIs to evaluate subscription ROI, shipping impact, and discount efficiency.
A full-stack web app (React SPA + FastAPI) that classifies news text as Reliable or Unreliable in real time using an NLP/ML pipeline (TF-IDF uni+bi-grams + Logistic Regression).