SYSTEM USER DOSSIER: AS-8.67
Akshay Srinivas N Resume
Backend & AI Engineer
COMM:
tgnascorp714@gmail.com
LOC:
Coimbatore, India
// 01_ PROFESSIONAL SUMMARY
dossier_summary.log
> DECRYPTING SUMMARY DATABANK... SUCCESS
Backend-focused Software Engineer with experience building AI-powered systems, multi-agent applications, computer vision solutions, and scalable full-stack platforms. Led engineering teams, deployed production AI solutions for industry clients, and developed intelligent systems spanning autonomous decision-making, RAG pipelines, and real-time APIs.
// 02_ WORK EXPERIENCE
Nov 2025 – Mar 2026
- Architected and led delivery of production web applications serving company clients, designing scalable React frontend and FastAPI/Node.js backend systems that improved platform reliability and reduced bug-related downtime by ~35%.
- Managed a team of 3–4 engineers, conducting code reviews, sprint planning, and stakeholder communication to ensure consistent on-time feature delivery across 4+ product releases.
- Owned the full development lifecycle – from requirements breakdown through implementation, QA, and deployment – reducing release cycle time by standardizing CI/CD workflows.
Jul 2025 – Oct 2025
- Designed and trained a production-ready YOLO-based computer vision model for real-time anomaly detection on a manufacturing line, achieving 91%+ detection accuracy on a custom industry dataset.
- Built a complete ML pipeline: data collection, annotation using CVAT, model training, validation, and deployment – packaged as a standalone Windows executable (.exe) for zero-dependency deployment across client infrastructure.
- Established testing protocols and validation benchmarks ensuring model robustness across varied lighting and defect-type conditions in the production environment.
// 03_ SELECTED PROJECTS
Python, PySide6/QML, Firebase
- Built and shipped a cross-platform desktop productivity app with a full installer, landing page, and 30–40 active users – featuring real-time session tracking, daily goal management, and streak monitoring.
- Engineered offline-first data synchronization using Firebase Auth and Realtime Database with local JSON caching, ensuring zero data loss on network interruptions across devices.
- Developed an interactive analytics dashboard with activity heatmaps and performance metrics, enabling users to visualize historical productivity trends – reducing manual tracking effort by ~80%.
TGNAS URLai
Mar 2026React, Node.js, Express, SQLite, WebSockets, TailwindCSS
- Engineered an intelligent URL management platform supporting custom aliases, password-protected links, click-limit controls, self-destruct links, and secure authentication using JWT + bcrypt.
- Designed a real-time analytics pipeline using WebSockets to stream live visitor activity and visualize metadata including browser, device, OS, and approximate location.
- Implemented a rule-based Trust Score engine (0–100) and background health monitoring to analyze link safety, detect suspicious patterns, and track destination availability/response latency.
// 04_ CORE TECH STACK
// LANGUAGES
Python
JavaScript
C
C++
Java
Go
// AI / ML PIPELINES
PyTorch
OpenCV
YOLO
LangChain
Computer Vision
Machine Learning
Scikit-learn
// WEB & FRAMEWORKS
React
Node.js
FastAPI
Flask
Express
Socket.IO
HTML & CSS
// DATABASES
PostgreSQL
MongoDB
MySQL
SQLite
Oracle
Firebase Realtime DB
// TOOLS & PLATFORMS
Git & GitHub
Linux CLI
CVAT
Docker
REST APIs
WebSockets
// CORE COMPUTER SCIENCE
Data Structures & Algorithms
OOP
System Design
Optimization
DBMS
// 05_ ACADEMIC PROFILE
B.E. Computer Science & Eng.
Sri Ramakrishna Institute of Technology
// 06_ SYSTEM MILESTONES
- Finalist - Shine Healthcare Hackathon '25
- Kalam Awards 2025 Recipient
- IIC Regional Meet 2025 Delegate
- SRCAS 2.0 Hackathon '25 Runner Up
Akshay Srinivas N
Coimbatore, India |
tgnascorp714@gmail.com |
github.com/lolakshay |
linkedin.com/in/Akshay-srinivas
PROFESSIONAL SUMMARY
Backend-focused Software Engineer with hands-on experience building production AI pipelines, scalable full-stack web platforms, and leading engineering teams end-to-end. Deployed a YOLO-based computer vision system for a manufacturing client and built applications with active users across real-world workflows. Strong in backend development, API engineering, system design, and taking products from idea to production deployment.
WORK EXPERIENCE
Team Lead – Web Development | Spirezen Enterprises
Nov 2025 – Mar 2026
- Architected and led delivery of production web applications serving company clients, designing scalable React frontend and FastAPI/Node.js backend systems that improved platform reliability and reduced bug-related downtime by ~35%.
- Managed a team of 3–4 engineers, conducting code reviews, sprint planning, and stakeholder communication to ensure consistent on-time feature delivery across 4+ product releases.
- Owned the full development lifecycle – from requirements breakdown through implementation, QA, and deployment – reducing release cycle time by standardizing CI/CD workflows.
AI/ML Engineer (Freelance) | Manufacturing Client (Industry Project)
Jul 2025 – Oct 2025
- Designed and trained a production-ready YOLO-based computer vision model for real-time anomaly detection on a manufacturing line, achieving 91%+ detection accuracy on a custom industry dataset.
- Built a complete ML pipeline: data collection, annotation using CVAT, model training, validation, and deployment – packaged as a standalone Windows executable (.exe) for zero-dependency deployment across client infrastructure.
- Established testing protocols and validation benchmarks ensuring model robustness across varied lighting and defect-type conditions in the production environment.
PROJECTS
Wocal – Cross-Platform WorkTime Tracker
Apr 2026
Python, PySide6/QML, Firebase
- Built and shipped a cross-platform desktop productivity app with a full installer, landing page, and 30–40 active users – featuring real-time session tracking, daily goal management, and streak monitoring.
- Engineered offline-first data synchronization using Firebase Auth and Realtime Database with local JSON caching, ensuring zero data loss on network interruptions across devices.
- Developed an interactive analytics dashboard with activity heatmaps and performance metrics, enabling users to visualize historical productivity trends – reducing manual tracking effort by ~80%.
TGNAS URLai
Mar 2026
React, Node.js, Express, SQLite, WebSockets, TailwindCSS
- Engineered an intelligent URL management platform supporting custom aliases, password-protected links, click-limit controls, self-destruct links, and secure authentication using JWT + bcrypt.
- Designed a real-time analytics pipeline using WebSockets to stream live visitor activity and visualize metadata including browser, device, OS, and approximate location.
- Implemented a rule-based Trust Score engine (0–100) and background health monitoring to analyze link safety, detect suspicious patterns, and track destination availability/response latency.
EDUCATION
B.E. Computer Science & Engineering | Sri Ramakrishna Institute of Technology
Sep 2024 – May 2028
CGPA: 8.67 / 10
TECHNICAL SKILLS
- Languages: Python, JavaScript, C, C++, Java, Go
- AI / ML: PyTorch, OpenCV, YOLO, LangChain, Computer Vision, Machine Learning, Scikit-learn
- Web & Frameworks: React, Node.js, FastAPI, Flask, Express, Socket.IO, HTML, CSS
- Databases: PostgreSQL, MongoDB, MySQL, SQLite, Oracle, Firebase Realtime Database
- Tools & Platforms: Git, GitHub, Linux CLI, CVAT, Docker (basic), REST APIs, WebSockets
- Core CS: Data Structures & Algorithms, OOP, System Design, Optimization
ACHIEVEMENTS & RECOGNITION
- Finalist – Shine Healthcare Hackathon '25, Kalam Awards 2025, IIC Regional Meet 2025, SRCAS 2.0 Hackathon '25