Full-Stack Developer with Cloud Experience

Likhitha Doddapuneni

Hyderabad, India *******************@*****.*** +91-990******* LinkedIn GitHub Portfolio PROFESSIONAL SUMMARY

Full Stack Developer with 10 months of production internship experience building scalable MERN applications and cloud- native systems on AWS. Delivered real-world solutions integrating AI-powered automation pipelines, containerized and deployed production platforms via Docker, Kubernetes, and CI/CD on AWS. Seeking a Full Stack or Backend Developer role to build impactful, user-facing products.

TECHNICAL SKILLS

Frontend: React.js, Angular, Redux, Tailwind CSS, HTML5, CSS3, JavaScript (ES6+) Backend & APIs: Node.js, Express.js, REST APIs, WebSockets, JWT, RBAC, Python Databases: MongoDB, MySQL, PostgreSQL, Redis

Cloud & DevOps: AWS (EC2, S3, Lambda, IAM, CloudWatch), Docker, Kubernetes, Terraform, Jenkins, GitHub Actions AI / Automation: LLM/AI Integration, spaCy, TensorFlow, Playwright, Celery, Proxy Rotation, n8n PROFESSIONAL EXPERIENCE

Full Stack Developer Intern — Multiplier AI Apr 2025 – Sep 2025 Hyderabad Project 1: Data Automation Product

Architected distributed crawling infrastructure (Docker + Celery + Redis) with 50+ concurrent workers, cutting data collection time by 65%

Built Playwright stealth automation with fingerprint randomization, proxy rotation & CAPTCHA solving — achieving 95% scraping success rate

Scraped, deduplicated, and standardized 200K+ healthcare practitioner records from 15+ medical directories using fuzzy matching and NLP pipelines

Integrated LLM-based extraction API for structured data parsing; MongoDB aggregation pipelines reduced duplicates by 78%

Project 2: TerraSourcing Platform terrasourcing.com Built production MERN platform with RBAC auth, Razorpay payments, Redis caching, and real-time WebSocket order tracking

Containerized via Docker & Kubernetes, deployed on AWS EC2 with NGINX; CI/CD via GitHub Actions reducing deploy time by 70%

AWS DevOps Intern — Cloud4C Services Jan 2024 – Apr 2024 Hyderabad Built CI/CD pipelines (Jenkins, GitLab CI, AWS CodePipeline) reducing deployment time by 20% Automated infrastructure provisioning with Terraform and AWS CloudFormation across staging and production environments

Monitored and optimized AWS resources (EC2, S3) using CloudWatch, reducing monthly infrastructure costs by 15% PROJECTS

RA Med Serv — Healthcare Service Platform Live

React.js · JavaScript · REST APIs · SQL · AWS

Pitched the project to the client, gathered requirements, and led end-to-end development using React.js Delivered the complete healthcare service platform within a strict deadline, incorporating client feedback throughout Diabetes Risk Prediction using Machine Learning

Python · scikit-learn · Pandas · Flask · React.js

Developed ML classification model on clinical health metrics (glucose, BMI, insulin levels) achieving 87% validation accuracy using Random Forest and XGBoost

Performed data preprocessing (handling missing values, feature scaling, SMOTE for class imbalance) and hyperparameter tuning with GridSearchCV

EDUCATION

B.Tech – Computer Science (Data Science) 2021 – 2025 CGPA: 7.5 Institute of Aeronautical Engineering, Hyderabad

Class XII – Resonance Junior College, Hyderabad 2019 - 2021 Percentage: 82% Class X – St. Ann's High School, Hyderabad 2018 - 2019 Percentage: 79% CERTIFICATIONS & PROFESSIONAL DEVELOPMENT

• AWS Cloud Practitioner — In Progress (Expected: Mar 2026)

• Google Associate Cloud Engineer — Self-study in Progress (Q2 2026)

• Kubernetes Administrator (CKA) — Self-study (Long-term Goal)

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