Software & AI Engineer — Hyderabad, India

Yasa
Varalakshmi

~/yasa $ whoami
CS Engineer · AI/ML Builder · Full-Stack Developer

~/yasa $ cat profile.json
{ "cgpa": "9.77/10", "projects": 10+, "status": "open_to_work" }

~/yasa $
View Projects Get in Touch
9.77
CGPA / 10.0
10+
projects built
1yr+
experience
2
cloud certs
00 — About

Building at the edge of AI and software

I'm a Computer Science Engineering graduate from ICFAI University (CGPA 9.77/10, May 2026), passionate about building systems that fuse intelligent behaviour with solid engineering — from real-time web platforms to production AI pipelines.

During my time at AI SmartHome, I worked across the full AI product lifecycle — face recognition, cough detection, YOLOv8 detection, LLM chatbots, and full-stack web apps — gaining rare breadth for a fresher.

I write clean, testable, well-documented code, thrive in agile environments, and care deeply about the end-user impact of every system I build.

AI & Machine Learning
CV, NLP, LLMs, speaker recognition, object detection
Full-Stack Development
React, Node.js, Spring Boot, REST APIs, SQL/NoSQL
Cloud & DevOps
AWS (certified), GCP, Azure, CI/CD, GitHub Actions
Academic Excellence
CGPA 9.77 · Merit scholarship ₹1,25,000 · Top of class
01 — Projects

Things I've built

01 / FEATUREDflagship
WHISPR — Real-Time Chat
Scalable real-time messaging platform with WebSocket architecture, LLM-powered features, JWT authentication, and AWS deployment. A/B tested prompt engineering for accuracy gains.
ReactTypeScriptNode.jsMongoDBSocket.ioJWTAWS
LLM accuracy gains via A/B prompt testing
GitHub
02
Mask Detection System
Real-time face mask detection using deep learning and computer vision. Classifies mask / no-mask / partial from live webcam feed — suitable for access control and health compliance.
PythonOpenCVDeep LearningCNN
Real-time classification from live webcam feed
GitHub
03
Face Recognition & Alert
Modular CV pipeline for identity verification with automated alert dispatch, SQL logging, and REST APIs. Deployed on AWS with CI/CD; reduced false-positive rates in live conditions.
PythonOpenCVREST APIsSQLAWS
~95% accuracy in live-service conditions
GitHub
04
YOLOv8 Object Detection + Voice
Real-time stationery detection (pens, erasers, sharpeners) with custom YOLOv8 model. Annotates objects with name and confidence score, announces detections via Google Text-to-Speech.
PythonYOLOv8OpenCVFlaskgTTS
Live webcam inference with voice announcement
GitHub
05
BlogFlow — Blog Management
Full-stack blogging platform with JWT auth, role-based admin moderation, and rich content workflows. Spring Boot backend + React frontend for post creation, commenting, and admin control.
ReactSpring BootJava 17MySQLJWTTailwind
Stateless JWT auth · admin moderation · REST API
GitHub
06
StockPilot — Inventory Management
Enterprise multi-warehouse inventory platform with supplier management, batch/expiry tracking, real-time Chart.js analytics, RBAC (admin vs staff), and CSV report generation.
ReactSpring BootJava 17H2Chart.jsJWT
Multi-warehouse · batch tracking · RBAC · dark mode
GitHub
07
MedLedger — Health Records
Digital hospital platform with 4 roles (Admin, Doctor, Receptionist, Patient), appointment scheduling, medical records, prescriptions, file uploads, bcrypt encryption, and analytics dashboards.
ReactNode.jsExpressMySQLJWTChart.js
4-role RBAC · appointments · medical record storage
GitHub
02 — Skills

Technologies & tools

Languages
JavaScriptTypeScriptPythonJavaC/C++SQL
Frontend
React.jsViteTailwind CSSFramer MotionChart.js
Backend & APIs
Node.jsExpress.jsSpring BootREST APIsJWTSocket.io
Databases
MongoDBMySQLPostgreSQLH2Hibernate/JPA
AI / ML
LangChainOpenCVYOLOv8LLMsNLPPrompt Eng.
Cloud & DevOps
AWSGCPAzureDockerCI/CDGitHub Actions
03 — Experience

Where I've worked

Jan 2026 — May 2026
Software Development Engineer I
AI SmartHome · Hyderabad, India
  • Architected full-stack web applications (React, Node.js/Express, REST APIs, SQL/NoSQL) with CI/CD pipelines deployed on AWS and GCP.
  • Built 6+ AI/ML systems — face recognition, cough detection, speaker recognition, YOLOv8 detection, Mini ChatGPT — across the complete AI product lifecycle.
  • Improved analytics pipeline model accuracy by ~20% through iterative hypothesis-testing and stakeholder feedback cycles.
  • Participated in all SDLC stages in agile/scrum; maintained technical documentation for API contracts and deployment runbooks.
Jun 2024 — Aug 2024
Software Engineer Intern
South Central Railways · Hyderabad, India
  • Built RESTful APIs with Node.js/Express and SQL database integration; applied unit testing to validate API behaviour.
  • Analysed real-time operational datasets to identify performance bottlenecks; produced improvement recommendations.
  • Applied Git branching and CI/CD practices within an agile team; debugged and resolved live production issues.
04 — Certifications

Recognition & credentials

AWS
AWS Academy Cloud Foundations
Amazon Web Services
AZ
Azure AI Fundamentals (AI-900)
Microsoft
NS
Data Processing & Visualization
NASSCOM
★
Merit Scholarship — ₹1,25,000
ICFAI University · CGPA 9.77/10
05 — Contact

Let's build something together

Actively seeking full-time roles in software engineering and AI/ML. Available immediately in Hyderabad, open to remote and relocation.

yasavarshu19@gmail.com
+91 83745 09846
Hyderabad — open to remote & relocation