Hartheek Reddy K.

Product Engineer

St Louis, Missouri, United States0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Built a multi-tenant AI-powered EdTech platform.
Enhanced backend system scalability by 70%.
Produced impactful data visualizations for decision making.

Stackforce AI infers this person is a Full-Stack Engineer specializing in EdTech solutions with a focus on scalable systems.

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Skills

Core Skills

Full-stack EngineeringSystem ArchitectureBackend EngineeringData Analysis

Other Skills

Next.jsTypeScriptNestJSPostgreSQLAI IntegrationDockerGCPExpress.jsPostgresGraphQLData VisualizationMatplotlibSeabornCloud ComputingHuman Computer Interaction

About

I’ve always enjoyed building things that solve real problems, especially when the problem isn’t clearly defined yet. Guiden started from noticing how often students get answers without understanding, and how little visibility teachers have into a student’s thinking. I wanted to build something that focused on how students learn, not just what they submit. I’m a full-stack engineer who built Guiden end-to-end from system architecture and backend services to AI workflows and frontend experience. I care about clean, scalable systems, but just as much about usability, cost, and whether the product actually helps the people using it. I learn by building, I think through systems, and I enjoy turning ideas into products that last.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Color coded kids

Web Developer

Aug 2024 – Present · 1 yr 9 mos · St Louis, MO · On-site

Founded, Architected and built Guiden, a multi-tenant AI-powered EdTech platform enabling reasoning-first learning for K–12 students, supporting teacher-defined assignments, rubric-based grading, and student AI chat workflows.
Designed and implemented a scalable system architecture using Next.js (TypeScript) for the frontend and NestJS (TypeScript) for backend services, following modular, service-oriented design patterns.
Built stateful AI chat pipelines with structured prompts, conversation memory, and rubric-driven evaluation logic, integrating LLM inference (OpenAI / Gemini) with cost controls and request limits.
Modeled and managed relational data schemas (Users, Schools, Classrooms, Assignments, ChatSessions, Messages, Subscriptions) using PostgreSQL + Prisma, ensuring data integrity, indexing, and query performance at scale.
Implemented role-based access control (RBAC) and authentication flows for Students, Teachers, and Admins, including school-level access codes and controlled onboarding. Designed usage-based subscription and quota enforcement (chat limits, assignment limits, student seats) at the school level, enabling per-student billing while keeping teacher access free.
Developed performance-optimized, accessible UI components (child-friendly themes, keyboard navigation, ARIA standards), improving engagement metrics by 30% while maintaining WCAG compliance.
Deployed backend services using containerized Docker builds on GCP Cloud Run, with environment-specific configurations, database migrations, and horizontal scaling for concurrent user traffic.
Implemented observability and reliability practices, including structured logging, error handling, and graceful failure paths for AI and backend services.

Next.jsTypeScriptNestJSPostgreSQLAI IntegrationDocker+3

Netisoft consultants

Software Engineer

Jun 2022 – Jul 2023 · 1 yr 1 mo · India · Remote

>Designed and developed a scalable backend web API using Express.js, Postgres and GraphQL, resulting in improved performance and reliability for the end user.
> Implemented efficient GraphQL queries and optimized database queries for quick response times, reducing latency and improving the user experience.
> Enhanced backend system scalability by 70%, ensuring seamless handling of increased loads and improving system responsiveness by 45% under peak conditions.
> Regularly monitored system performance, proactively identifying optimization opportunities through code improvements, database tunning and infrastructure adjustments.

Express.jsPostgresGraphQLBackend Engineering

Globalshala

Data analyst intern

May 2021 – Mar 2022 · 10 mos · India · Remote

> Enhanced data accessibility, fostering profound understanding of complex datasets for informed decision making and project success.
> Produced clear and concise visuals with Matplotlib,Seaborn and plot elevating data accessibility and aiding effective communications.
> Implemented strategies for large datasets, ensuring insights are easily understood by both technical and non-technical stakeholders.
> Played a pivotal role in actively pitching creative ideas for designing impactful visualizations.>

Data VisualizationMatplotlibSeabornData Analysis