Founder of Nuuvixx & Backend Engineer building production-grade multi-agent systems and distributed infrastructure.
I specialize in the backend that makes AI apps actually work: governance planes, high-throughput queues, sub-500ms geospatial engines, and deep abstaining classifiers.
GET IN TOUCH →BACKENDENGINEER.
Building the infrastructure that makes AI applications actually work.
I started coding because the systems I depended on kept breaking. Now I build the ones that do not.
I am a Computer Science Engineering student at SRM University (Batch 2027, 9.31 CGPA) and the Founder of Nuuvixx, building autonomous multi-agent governance and runtime systems.
My work lives at the intersection of backend engineering and LLMOps: shipping systems that are observable, fault-tolerant, and actually scale under production traffic.
Currently focused onMulti-agent governance, distributed task queues, and LLM evaluation with RAGAS.
Technical Accreditations4x Certified: AWS Machine Learning, AWS AI Practitioner, AWS Cloud Practitioner, SAP GenAI.
Competitive StandingLeetCode Knight (Rating 1859, Top 5.81% globally) with 5+ merged PRs in Open Source.
Production Systems & AI Research Labs
Multi-agent governance runtimes, Deep Abstaining Classifiers (DAC), fault injection chaos harnesses, and sub-millisecond network balancers.
Nuuvixx AgentGovern
Autonomous Multi-Agent Governance & Execution OS
Deploying autonomous AI agents into enterprise workflows requires strict RBAC boundaries, state audit ledgers, and deterministic tool authorization to prevent runaway costs or data leakage.
Synthesis
AI-Powered Codebase Intelligence & Multi-Agent Copilot
Developers spend 40% of their time navigating complex codebases, parsing call graphs, and debugging undocumented architectural dependencies across 50,000+ lines of code.
Meridian
Real-Time Sub-500ms Geospatial Operations Engine
Track 200+ moving entities across a geographic territory in real-time, detect spatial anomalies automatically, and let analysts query the fleet in plain English instead of writing raw SQL.
TrustNet: Deep Abstaining Classifier
Selective Prediction & Fraud Detection with Deep Abstaining Classifiers
Traditional ML classifiers are forced to output a prediction even on borderline, high-uncertainty transactions, causing high false negatives and undetected financial fraud.
ChaosAgent: Multi-Agent Fault Injector
Autonomous Chaos Engineering & Byzantine Fault Injection for LLM Agents
Production multi-agent systems suffer from cascading failures when tool APIs hang, prompt drift introduces hallucinations, or Byzantine agent nodes return corrupted outputs.
BugPulse
AI-Powered Autonomous Bug Triage Platform
Engineering teams waste hours reviewing chaotic bug reports from Slack, Email, Sentry, and Forms without structured repro steps, priority classification, or duplicate detection.
ContextForge
Production AI Retrieval & Evaluation Platform
Production RAG systems frequently suffer from silent hallucinations and high token costs because they lack query intent routing, semantic caching, and systematized RAGAS metric evaluation.
TaskMesh
Distributed Workflow Orchestration Engine
Process arbitrary background tasks across concurrent workers without dropping a single job during traffic spikes or partial worker crashes on a single low-cost node.
Nuuvixx
nuuvixx.com ↗Founder & Lead Systems Architect
- Founded Nuuvixx, an autonomous agent governance and runtime ecosystem featuring AgentGovernOS and AgentStudio.
- Architected a centralized RBAC execution plane in Python and FastAPI, executing tool authorizations with sub-45ms latency.
- Built tamper-evident state transition snapshots with hash chaining in PostgreSQL, delivering 100% auditability for enterprise LLM agents.
Networking Nexus, SRM
Technical Director
- Lead a 15-member engineering team, driving project execution, code reviews, and technical mentorship across concurrent initiatives.
- Built HydraLB, a fault-tolerant Go HTTP load balancer sustaining 6,500+ req/s with sub-0.8ms proxy overhead.
- Automated GitHub Actions CI/CD pipelines, standardizing deployments and catching regressions before staging.
DappaSol
AI & Backend Engineering Intern
- Engineered document-intelligence pipelines using Python, FastAPI, and PostgreSQL to automate multi-tenant ingestion across 50,000+ enterprise records.
- Optimized PostgreSQL indexing and query execution strategies, improving ingestion throughput by 18% while cutting redundant operations.
- Implemented schema validation and semantic deduplication algorithms, eliminating duplicate entries across backend services.
Uzence Design Studios
Software Engineering Intern
- Diagnosed latency on 3 high-traffic production REST endpoints using PostgreSQL EXPLAIN ANALYZE, cutting response latency by ~15%.
- Refactored REST API payloads across 6 production integrations, reducing data transfer by ~20% and simplifying downstream service integration.
- Standardized backend response formatting and error handling contracts across microservices.
Every skill listed here is linked to the project where I used it: verified by real code, not self-assessed ratings.
AI & LLM Engineering
Backend & Systems
Databases & Storage
Cloud, DevOps & Tooling
Official Certifications
Industry-recognized cloud architecture, machine learning engineering, and generative AI accreditations from Amazon Web Services (AWS) and SAP.
AWS Certified Machine Learning Engineer - Associate
Verified Competencies:
AWS Certified AI Practitioner
Verified Competencies:
AWS Certified Cloud Practitioner
Verified Competencies:
SAP Certified Generative AI Developer
Verified Competencies:
Competitive Standing & Open Source
Algorithmic problem solving on LeetCode, upstream contributions to open source tooling, and hackathon prototypes built under strict time pressure.
1859
LeetCode Knight
Rating 1859 (Top 5.81% Globally)
Advanced Data Structures & Algorithms
5+ PRs
5+ Merged Pull Requests
Open Food Facts & Meilisearch
Compiler pipeline accessibility & Rust search engines
3 Podium
Multi-Hackathon Winner
Silver (SymbiOS INDCON'26) | Runner-Up (Hack2Health) | Silver (Cyber 2025)
Built and pitched production-grade systems in 36h
9.31 CGPA
SRM University (Batch 2027)
B.Tech Computer Science and Engineering
Top tier academic standing in core systems coursework
Have a system
that needs to scale?
Currently open for
- ✓Full-time Backend / AI Engineering roles (2026)
- ✓Open source collaborations
- ✓Technical architecture discussions