Hrithik Manda builds resilient systems that scale.
Software engineer focused on large-scale systems with a love for exploring the practical power of AI. I design and ship reliable platforms, performance-critical infrastructure, and intelligent tooling that deliver measurable impact without compromising reliability.
A builder who ships fast and scales hard.
I specialize in architecting large-scale platforms, deep system integrations, and high-throughput services. I love exploring the practical capabilities of AI while shipping resilient distributed systems and cloud automation across AWS. I blend product instinct with systems rigor to deliver speed, stability, and standout user experiences.
LLMs, RAG, prompt engineering, LLMOps, and agent workflows.
AWS, microservices, distributed systems, and CI/CD automation.
Building resilient, scalable backend systems with tight SLOs.
Latency, throughput, caching, and incident reduction at scale.
Shipped features that drive revenue, retention, and reliability.
How I show up every day
The operating principles that guide how I build, collaborate, and deliver impact.
Lead with accountability and take full responsibility for outcomes.
Collaborate deeply and elevate everyone around the table.
Work backwards from the user to craft exceptional experiences.
Challenge the default and design for outsized impact.
Experiment, iterate, and keep ideas bold and fresh.
Full-stack + AI-native toolbox
Languages, frameworks, and infrastructure I use to build reliable, high-performance systems.
High-impact roles, real-world scale
Delivered AI-powered platforms, resilient deployments, and mission-critical systems across global orgs.
- • Integrated GenAI-based MCM and code review assistants to surface defects early and cut manual review time.
- • Architected progressive deployments with wave-based rollouts and onebox environments, cutting incident rates by 90%.
- • Built a high-impact caching layer, slashing API overhead by 98% and saving $10k per month in infrastructure costs.
- • Delivered an AI on-call assistant that learns from historical incidents to generate actionable remediation steps.
- • Redesigned route-sorting logic and schemas for delivery stations, boosting throughput by 80%.
- • Reduced cold start time by 12s through stress and chaos testing, significantly improving P99 latency.
- • Led Security Incident Response application design and vendor integrations, landing 10 new clients.
- • Built scalable microservices and reusable Java and JavaScript components powering $112M in quarterly revenue.
- • Migrated databases and optimized queries to deliver a 64% platform efficiency boost.
- • Scaled payment processing with Java, Spring, and AWS to raise transaction capacity by 30%.
- • Applied OOD principles to help support $24M in daily transactions with higher reliability.
Signature builds
Projects that showcase my obsession with performance, intelligence, and reliability.
Built a multi-model prediction pipeline with Logistic Regression, Decision Trees, KNN, and Random Forest to reach 91% accuracy.
Computer vision system for live pothole detection and automated reporting into a centralized database.
Designed a scalable AWS architecture with auto-scaling, load balancing, and managed services.
Fault-tolerant distributed file system with replication, 99.5% data availability, and 35% lower latency.
Academic foundation
Deep technical coursework and research-driven learning.
Machine Learning, Data Mining, Incident Response, Advanced Architecture
DBMS, Operating Systems, Software Engineering, Compiler Design
Books that shape my craft
My go-to reads for clean architecture, scalable systems, and design patterns that last.
I love reading books and learning from them — feel free to drop any interesting suggestions.
Timeless principles for writing maintainable, high-quality software.
Pattern-driven thinking for scalable, flexible system design.
Recognition & achievements
A quick snapshot of standout wins across industry and competitive programming.
Recognized for teamwork, debugging excellence, and product impact.
Solved 800+ algorithmic challenges and ranked among top performers.
Let's build something bold.
Open to full-time roles, AI platform engineering, and high-impact collaborations.