Likith Nadendla
AI Engineer & Cofounder of SyncLabs — building production-grade agentic systems and RAG platforms at scale with a focus on retrieval pipelines, LLM evaluation, and regulatory-ready AI services.
About Me
AI Engineer building production-grade agentic systems and RAG platforms at scale. Expertise in retrieval pipelines, LLM evaluation, and operationalizing AI services in regulated environments. Shipped Python services powering real-time agent reasoning, optimized prompt scaffolding for reduced hallucination, and integrated enterprise AI systems with measurable compliance wins. Hands-on RAG architecture (chunking, retrieval scoring, grounding), evaluation harnesses for regression detection, and prompt engineering for production. Strong cross-functional collaborator across backend, frontend, and AI teams, comfortable bridging applied AI and platform infrastructure with measurable throughput and latency improvements.
ML Systems Architecture
Architecting and deploying secure, cloud-native ML systems with automated pipelines and data workflows
Infrastructure & DevOps
Hardening infrastructure across AWS and Kubernetes with CI/CD guardrails and infrastructure-as-code
Compliance & Monitoring
Enforcing compliance for healthcare and retail with comprehensive observability and monitoring systems
Technical Skills
Cloud & DevOps
Programming
Databases & Data Ingestion
Frameworks & Libraries
Tools & Platforms
Infrastructure & Networking
Machine Learning & Modeling
Observability & Reliability
Other Skills
Projects
Projects
A timeline of selected projects delivering ML, analytics, and cloud-native systems with measurable impact.
SyncLabs Studio — AI Lip-Sync Video Platform
SyncLabs Studio — AI Lip-Sync Video Platform
SyncLabs Studio (Co-Founder & Engineer)
Co-founded and engineered an AI-powered lip-sync video platform built on MuseTalk v1.5, Whisper audio embeddings, VAE latent encoding, and BiSeNet face blending, running on GPU-accelerated cloud infrastructure.
Responsible for full-stack architecture, production deployment, and product development. Platform supports multi-language sync, pre-built AI avatars, and processes most videos in 2 to 3 minutes with zero local setup.
ClusterDuck IoT Mesh
ClusterDuck IoT Mesh
Decentralized IoT Mesh Network for Disaster Resilience
Implemented a decentralized IoT mesh communication network using the open-source Cluster Duck Protocol to simulate resilient connectivity during disaster scenarios.
- Deployed ESP32-based IoT nodes running the Cluster Duck firmware to form a LoRa-based mesh network with Wi-Fi client access
- Configured gateway nodes (Papa Duck architecture) to aggregate telemetry and forward messages to centralized endpoints via available backhaul connectivity
- Evaluated mesh formation behavior including node discovery, routing, and automatic rerouting during simulated node failures
- Tested network resilience under various failure scenarios to validate disaster communication capabilities
Daily Stack — Multi-Agent Productivity System
Daily Stack — Multi-Agent Productivity System
Daily Stack (Co-Creator, 2nd Place, Claude Code Hackathon)
Built multi-agent AI system with four specialized Claude agents (task creation, prioritization, scheduling, reminders) working in concert.
Implemented evaluation harnesses to measure agent coordination latency and user satisfaction. Won 2nd place at Claude Code Hackathon. Demonstrates agentic workflow design, prompt orchestration, and rapid iteration.
iOS Activity Monitor — Privacy-First Local Model App
iOS Activity Monitor — Privacy-First Local Model App
iOS Activity Monitor (In Progress)
A privacy-first iOS app inspired by macOS Activity Monitor that surfaces all active processes on iPhone, explains in plain language what each process is and why it’s running, and flags unusual activity—all powered by an on-device local model with zero cloud dependency.
Offline Text-to-Speech AI Model
Offline Text-to-Speech AI Model
Privacy-First Offline TTS System
Jetson Nano-based offline TTS pipeline optimized for privacy and sub-second inference.
- End-to-end GPU-accelerated inference with TensorFlow/PyTorch on CUDA.
- Custom-trained neural voices tuned for the target domain and edge constraints.
- Efficient training/evaluation loop plus thermal/resource monitoring.
- 100% offline operation—no cloud dependency for privacy-sensitive contexts.
- Integrated into multi-cloud dashboards to track inference latency, accuracy, and device health.
Impact: proves production-quality voice synthesis on embedded hardware for secure deployments.
Experience
Professional Journey
A timeline of my professional experience and career milestones in cloud technology and software development.
2024-Present
2024-Present
MLOps Engineer — Ayumetrix
Built and operated a HIPAA-compliant laboratory data and MLOps platform to ingest and normalize HL7 test results, enable reproducible ML-driven analytics, and automate secure reporting for partner labs and patients, with strict PHI isolation, auditability, and operational reliability.
2023
2023
DevOps/MLOps Engineer — Core Defender AI
Designed and built a Python-based AI agent platform on AWS to power intelligent decisioning, personalization, and real-time recommendations at scale. The system focused on agent orchestration, system reliability, and production-grade deployments using containerized services, CI/CD pipelines, and strong observability.
2019-2022
2019-2022
Linux System Administrator — Hexagon R&D India
Administered Linux infrastructure supporting GIS research environments and geospatial compute workloads
Education
Academic Journey
My educational foundation in computer science, cybersecurity, and advanced technologies that shaped my career.
Master of Science in Computer Science
Specialized in cutting-edge technologies and advanced computer science concepts with focus on practical applications.
Cyber Security Certification
Specialized certification program focusing on international cybersecurity frameworks and strategic security analysis.
Bachelor of Technology in Computer Science
Comprehensive undergraduate program establishing strong foundation in computer science fundamentals and practical applications.
Blog
Coming Soon
Insightful articles about ML, DevOps, cloud architecture, and engineering best practices coming soon.
Get In Touch
I'm always interested in hearing about new opportunities and exciting projects. Whether you want to discuss cloud solutions, data analytics, or software development, feel free to reach out!