Full Stack Developer
ML Engineer
Hey, I'm Mallikarjuna Reddy Gayam
Full Stack and AI/ML Engineer with expertise in building scalable web applications, intelligent systems, and deploying ML models. Proficient in React/Next.js, Node.js, Python, and AWS, delivering impactful features with a focus on performance and clean architecture.
const developer = {name: 'Mallikarjuna Reddy Gayam',role: 'Full Stack Developer','ML Engineer'location: 'United States',}Experience
Work History
My professional journey
Software Engineer
Cognizant | May 2022 - Aug 2023
- Developed dynamic web apps using React.js, Next.js, and Node.js, improving user engagement and reducing bounce rate by 30% through SPA optimizations and lazy loading.
- Engineered secure backend APIs with Express.js, implementing token-based authentication, input validation, and role-based access.
- Designed and deployed TensorFlow-based classification models for customer support and fraud detection, reducing manual review workloads by 35%.
- Refactored database models in MongoDB/PostgreSQL, optimizing data retrieval and caching to reduce average query time by 50%.
- Deployed microservices using Docker, AWS Lambda, and Kubernetes, enabling auto-scaling and ensuring 99.9% service availability.
- Led automation of CI/CD pipelines with GitHub Actions and Jenkins, cutting down deployment cycles by 40% and reducing production errors
- Worked across full Agile cycles, regularly contributing to sprint planning, testing, and release documentation.
Software Engineer Intern
Cognizant | Nov 2021 - Apr 2022
- Built a fully interactive internal dashboard using React, FastAPI, and MongoDB, automating record tracking and reducing admin workload by 30%.
- Integrated NLP search features using spaCy, Scikit-learn, and fuzzy string matching to enhance search precision over semi-structured records.
- Developed a secure API layer with JWT-based auth and role-specific endpoints, enforcing access controls for multiple user roles.
- Deployed services on AWS Lambda and DynamoDB, reducing infrastructure overhead and scaling automatically during peak loads.
- Participated in full sprint cycles from UI planning and API development to code reviews and test coverage, gaining exposure to production-grade deployments.
Education
My Academic Journey
Degrees and qualifications
Master’s in Information Systems
Saint Louis University | Aug 2023 – May 2025
GPA: 3.9
Bachelor’s in Computer Science and Engineering
Lakireddy Bali Reddy College of Engineering | Jun 2018 – May 2022
Skills
My Tech Stack
Technologies and tools I work with
OpenAI API
TypeScript
Firebase
Tailwind CSS
MySQL
Express.js
REST APIs
docker
Git
PostgreSQL
Full-Stack Development
Artificial Intelligence
Machine Learning
Next.js
React.js
Node.js
JavaScript
Python
Java
Projects
Featured Work
Some of my recent projects
Acco Finder – AI-Powered Housing Platform
- Built a housing discovery platform using React, Next.js, and MongoDB, reducing student housing search time by 50% through location-based filtering and user-tailored listings.
- Integrated a recommendation engine using Python, pandas, and cosine similarity, leveraging user input and listing metadata to deliver personalized housing suggestions.
- Implemented real-time chat and map-based search functionality, improving platform engagement and interactivity.
- Deployed on Vercel with serverless functions and caching, reducing backend latency by 35% under peak usage.
Portfolio
- Designed and developed a responsive, SEO-optimized portfolio website using Next.js, React.js, and Tailwind CSS to showcase projects and technical expertise.
- Implemented dynamic animations, optimized load times, and ensured accessibility across all devices.
- The portfolio includes interactive components, performance enhancements, and real-time project previews to support professional engagement and recruiter visibility.
AI Article Summarizer
- Developed an AI-based summarization tool using OpenAI API (GPT-4), designed to automate long-form content reduction for quicker readability.
- Created a real-time preview interface with Next.js and TypeScript, and built backend APIs in Node.js for efficient model integration.
- Optimized loading speed by 70% using smart caching and improved database interactions.
Entry-Level Jobs Dashboard
- Built a full-stack job discovery platform using Next.js, TypeScript, and Firebase, aggregating listings from LinkedIn, Indeed, and Google Jobs with real-time updates and filtering.
- Integrated AI-driven resume matching using OpenAI for skill extraction and TF-IDF + XGBoost for entry-level classification, enabling personalized job scores and gap analysis.
- Developed interactive analytics dashboards with Chart.js and Recharts, visualizing job trends, hiring regions, and skill demands using real-time Firestore data.
- Implemented secure Firebase Authentication, profile management, and resume upload with version control, enabling users to track matches over time.
AI-Powered Resume & Cover Letter Generator
- Built a document generation platform using Next.js, Firestore, and Docker, enabling users to create tailored, ATS-optimized resumes and cover letters with a 93% reported success rate.
- Integrated OpenAI GPT-4 for real-time content generation, leveraging prompt engineering, keyword optimization, and semantic alignment to match job descriptions at scale.
- Used Selenium with Chrome headless to automate PDF rendering of resumes with pixel-perfect formatting and export functionality.
- Deployed the entire system in a containerized environment using Docker, with scalable serverless functions for content generation and Firestore for persistent data and user session management.
Emotion Based Music Player
- Developed a machine learning-powered music recommendation system using CNNs to analyze user facial expressions.
- Created a seamless user interface for live mood detection and personalized music suggestions, improving user engagement by 40%.
- Presented and published research on the system at ICSCDS 2022, showcasing its innovative impact on personalized user experiences.
Contact
Get in Touch
Connect with me on social media or via email