Backend & Relational Architecture
Normalized PostgreSQL and MySQL schemas, JWT role-based access control, and clean REST/FastAPI controllers built for predictable data integrity.
I build software systems, engineer real-time applications, and integrate AI into practical workflows.
Software engineering is the discipline of turning complex operational workflows into deterministic, low-latency, production-grade systems.
Trained in Computer Applications—completing my Master of Computer Applications (MCA, 2024–2026) at PES Modern College of Engineering following a 9.16 CGPA in BBA-CA (2021–2024)—I build software from the database schema and API layer upward.
Whether writing C++ for algorithmic problem-solving, architecting REST and WebSocket services in Node.js, TypeScript, and Python, or modeling relational data in PostgreSQL and MySQL, I treat frontend interfaces and backend infrastructure as a single continuous system.
My engineering work focuses on practical system challenges: low-latency WebRTC and Socket.io real-time communication, role-based enterprise applications, and integrating AI/LLMs and computer vision (LangChain, Whisper, OpenCV, EasyOCR, Gemini API) into automated data pipelines.
Rather than treating AI as a novelty, I use structured function calling, signal preprocessing, and strict JSON validation to eliminate repetitive manual operations and make complex databases accessible.
Normalized PostgreSQL and MySQL schemas, JWT role-based access control, and clean REST/FastAPI controllers built for predictable data integrity.
Bi-directional WebSocket state synchronization with Socket.io and peer-to-peer WebRTC video/audio conferencing with sub-50ms signaling.
End-to-end orchestration combining FFmpeg, OpenCV, Whisper, EasyOCR, LangChain ReAct agents, and Gemini APIs for structured JSON extraction.
A group travel planning platform that centralizes invitations, real-time chat, dynamic itineraries, and role-based access.
Engineering Highlights
An automated document extraction pipeline that processes scanned documents and converts unstructured text into structured JSON.
Engineering Highlights
{
"pipeline_stage": "READY",
"opencv_denoise": true,
"easyocr_tensors": 4,
"extracted_payload": {
"invoice_id": "TRN-2026-0891",
"vendor": "Pune Industrial Labs",
"amount_inr": 142800.00,
"verified": true
}
}
An internal tool that translates natural-language questions into executable SQL queries and natural-language summaries.
Engineering Highlights
-- PROMPT: "Compare Q1 enterprise subscription revenue across Pune and Mumbai" SELECT region, COUNT(account_id) AS accounts, SUM(arr_inr) AS total_inr FROM enterprise_subscriptions WHERE quarter = '2026-Q1' AND status = 'ACTIVE' GROUP BY region ORDER BY total_inr DESC;
| REGION | ACCOUNTS | TOTAL_INR | INSIGHT |
|---|---|---|---|
| Pune | 19 | ₹48,20,000 | Top ARR Cluster |
| Mumbai | 14 | ₹36,90,000 | High Expansion |
PES Modern College of Engineering, Pune
PES Modern College of ASC, Pune
Published in IJSREM, Volume 10, Issue 5, May 2026. Authored by Tejashree Vijay Dumasia.
// BIBTEX FORMAT
@article{Dumasia2026ExplainableAI,
author = {Tejashree Vijay Dumasia},
title = {The Role of Explainable AI in Security Systems: A Survey of Transparent Threat Detection},
journal = {International Journal of Scientific Research in Engineering and Management (IJSREM)},
volume = {10},
number = {5},
month = {May},
year = {2026},
doi = {10.55041/IJSREM64095}
}
// IEEE FORMAT
T. V. Dumasia, "The Role of Explainable AI in Security Systems: A Survey of Transparent Threat Detection," Int. J. Sci. Res. Eng. Manag. (IJSREM), vol. 10, no. 5, May 2026, doi: 10.55041/IJSREM64095.
Open to full-stack software engineering roles, backend architecture, real-time systems, and applied AI engineering opportunities.