AI ENGINEER · ANDROID DEVELOPER
Building intelligent systems, from LLM agents to Android apps.
Specializing in agentic AI workflows, RAG systems, and native high-performance Android engineering.
ABOUT ME
Engineering systems at the intersection of AI & Android.
I build intelligent agentic systems and native Android software with absolute emphasis on precision, speed, and architectural clarity.
With a strong engineering foundation in native Android development and applied artificial intelligence, I design software that bridges complex backend model reasoning with seamless user experiences. My work spans agentic AI workflows, retrieval-augmented generation (RAG) pipelines, tool calling, and high-performance Kotlin/Android apps.
Agentic AI & Advanced RAG Systems
Designing multi-agent workflows, tool-calling pipelines, and autonomous decision systems.
AI Engineering & LLM Integration
Pivoted deeply into LLM architectures, vector retrieval, and production AI application development.
Native Android Software Engineering
Architected Kotlin apps utilizing Jetpack Compose, Clean Architecture, and high-throughput local databases.
Computer Science & Systems Foundation
Graduated with honors, focusing on algorithm design, systems programming, and machine learning fundamentals.
// I build systems that reason, not just respond.EXPERIENCE
Work History & Milestones
A record of technical leadership, agentic AI architecture, and production Android engineering.
NeuralCraft Systems
Senior AI Engineer & LLM Specialist
- Architected autonomous multi-agent tool-calling workflows reducing complex reasoning task latency by 42%.
- Engineered hybrid vector-sparse RAG retrieval pipelines over multi-domain knowledge bases with sub-100ms P99 retrieval times.
- Designed synthetic evaluation benchmarks (evals) to audit LLM hallucination rate and JSON schema adherence across model updates.
Apex Mobile Technologies
Lead Android Developer
- Led the migration of legacy XML layouts to Jetpack Compose across a 1M+ MAU flagship Android application.
- Implemented offline-first room database architecture with encrypted SQLite and background WorkManager synchronization.
- Optimized app startup time by 35% through baseline profiles, lazy list memory tuning, and dependency injection refactoring.
Cognitive AI Labs
AI / Mobile Engineer
- Integrated lightweight edge ML models (TensorFlow Lite / ONNX) directly into Android applications for real-time camera inference.
- Built high-throughput REST APIs and WebSocket stream bridges for streaming model responses with minimal memory overhead.
- Published comprehensive developer documentation and internal SDKs used by cross-functional engineering teams.
SKILLS & CAPABILITIES
Technical Stack & Developer Toolbox
Production-tested frameworks, agentic AI systems, and native mobile architecture.
SELECTED WORK
Featured Projects & Engineering Case Studies
Production systems, autonomous agent workflows, and native mobile apps.
AgentMesh Orchestrator
AgentMesh Orchestrator
Multi-agent LLM workflows suffer from non-deterministic tool calling failures, unvalidated schema output, and high step latency.
Designed a stateful graph-based orchestration engine featuring strict Zod/Pydantic schema verification, parallel tool execution, and automated fallback recovery.
Reduced agent execution step failures by 68% and dropped average multi-tool latency from 4.2s to 1.8s.
KronoSync Mobile
Built a native Kotlin Android application with Jetpack Compose, Room DB encrypted local storage, and intelligent WorkManager exponential backoff synchronization.
SemanticRAG Pipeline
Engineered a hybrid sparse-dense retrieval pipeline incorporating BM25 keyword matching, Cohere reranking, and Reciprocal Rank Fusion (RRF).
EdgeCam AI Vision
Integrated quantized TensorFlow Lite and ONNX models on-device using Android CameraX and GPU delegate acceleration.
AI ENGINEERING & SYSTEMS
Autonomous Agents, RAG & LLM Architecture
A capability showcase focused on system design, probabilistic reasoning, and production execution.
Agentic AI
Designing autonomous multi-step decision workflows that dynamically select tools, execute actions, and self-correct based on feedback loops.
LLM Applications
Building production-ready LLM application architectures with strict JSON output validation, fallback routing, and low-latency streaming.
RAG Systems
Engineering hybrid vector-sparse retrieval pipelines with semantic reranking and reciprocal rank fusion over large enterprise datasets.
Multi-Agent Systems
Orchestrating specialized agent teams with distributed state machines, role allocation, and structured inter-agent message passing.
Prompt Engineering
Developing systematic prompt optimization techniques, few-shot contextual framing, and chain-of-thought reasoning protocols.
AI Automation
Automating end-to-end business workflows by coupling AI model decisioning with backend API webhooks and data pipelines.
Tool Calling
Configuring deterministic function execution interfaces enabling models to safely query databases, APIs, and computational tools.
Model Evaluation
Implementing rigorous synthetic evals, hallucination detection benchmarks, and cost-latency profiling for model selection.
Agentic AI Pipeline
User Intent & Prompt
Reasoning & Tool Execution
Context Retrieval
Verified Output
ANDROID ENGINEERING
Native Mobile Architecture & High-Performance Apps
Crafting reactive, offline-first Android software with modern Kotlin toolchains.
KronoSync Mobile
MVVM Architecture
Separating UI state from business logic using StateFlow, SharedFlow, and ViewModel lifecycle handlers for deterministic UI rendering.
Clean Architecture
Enforcing clear boundaries between UI, domain use-cases, and repository data sources for high testability and maintainability.
Jetpack Compose
Building responsive, hardware-accelerated native UIs with declarative composables, custom state hoisting, and smooth animations.
Room Database
Architecting local SQLite relational schemas with Room ORM, Flow reactive queries, and automatic schema migrations.
Retrofit & OkHttp
Handling asynchronous REST APIs with type-safe interfaces, custom interceptors, auth token refresh, and JSON serialization.
Firebase Integration
Integrating Firebase FCM push notifications, Analytics, Crashlytics, and Remote Config for real-time app telemetry.
RESEARCH & PUBLICATIONS
Peer-Reviewed Publications & Technical Papers
Academic research focusing on multi-agent orchestration, retrieval systems, and model optimization.
Autonomous Multi-Agent Tool Orchestration in Complex Reasoning Domains
This paper presents a graph-based stateful orchestration framework for multi-agent LLM systems performing complex tool calling. By decoupling intent planning from function execution and introducing schema verification at intermediate nodes, we eliminate cyclic agent loops and invalid API payloads.
Implemented a deterministic finite state machine (FSM) over asynchronous Python event loops, evaluating tool calling against a benchmark suite of 1,500 multi-step reasoning tasks.
Achieved a 68% reduction in task execution step failures and a 2.3x speedup in end-to-end task completion latency compared to standard ReAct agent baselines.
Hybrid Sparse-Dense Retrieval Fusion for Multi-Turn Technical Question Answering
Standard dense vector embeddings struggle to preserve exact keyword matching in domain-specific technical documentation. We introduce a Reciprocal Rank Fusion (RRF) algorithm combining BM25 sparse keyword indices with fine-tuned dense embeddings.
Evaluated hybrid retrieval over 100,000 dense technical document chunks, applying neural cross-encoder reranking on top-50 candidate passages before context synthesis.
Increased retrieval Precision@5 from 64.2% to 91.4% and Mean Reciprocal Rank (MRR) by 28.5% over pure vector search baselines.
TECHNICAL ARTICLES
Engineering Insights & Deep Dives
Articles on AI system design, LLM orchestration, and high-performance Android engineering.
RECOGNITION & CREDENTIALS
Certifications & Notable Achievements
Verified technical credentials, leadership roles, and academic honors.
01 / Technical Certifications
Deep Learning Specialization
Associate Android Developer
LangChain & LlamaIndex AI Architect
AWS Certified Cloud Practitioner
02 / Achievements & Recognition
IEEE Research Publication
Published peer-reviewed paper on autonomous multi-agent tool orchestration frameworks in complex reasoning domains.
Diploma First Rank (Gold Medalist)
Ranked 1st out of 450+ students in Computer Engineering diploma program with a 98.4% aggregate score.
Android Development Club Lead
Led technical workshops on Jetpack Compose, Kotlin Coroutines, and Clean Architecture for over 300 student engineers.
Teaching Assistant – AI & Machine Learning
Assisted professors in grading assignments, conducting lab sessions, and guiding final-year AI capstone projects.
NSS Technical Volunteer Lead
Organized digital literacy bootcamps and open-source software drives in rural community centers.
National AI Hackathon Grand Champion
Won 1st place overall among 120 teams for building an offline-first edge AI camera system for Android.
GET IN TOUCH
Let's Build Something Intentional
Have a project in mind or looking for technical leadership in AI Engineering or Android?
Start a Conversation
Whether you are architecting a multi-agent AI pipeline, building an offline-first Android app, or looking for an engineering consultant, my inbox is always open.