Sunnykumar Lalwani
12+
Years of hands-on experience
Principal Engineer - Backend and Systems Architecture

Sunnykumar Lalwani

Principal Engineer – Backend and Systems Architecture. Architecting scalable backend systems, cloud-native infrastructure, and AI-powered platforms aligned with real business outcomes.

Profile

Languages
English, Hindi, Gujarati, Sindhi
Education
M.Sc. Information Technology, Dhirubhai Ambani Institute of Information and Communication Technology (DAIICT), Gandhinagar, 2011–2013

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Tech Stack

APIs & SDKs
AI-assisted WorkflowsAutomation PipelinesOCR SystemsDocument Intelligence Processing
Storage
RedisBackground JobsCron Workflows
Frontend
AngularJS
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"Intelligent systems are not just built with AI — they're engineered with structure, scalability, and purpose."

— Sunnykumar Lalwani

Intelligence Architecture

01

MODEL LAYER

Foundation reasoning & multimodal intelligence powering structured workflows.

GPT-4oClaude 3GeminiLlamaHuggingFace

Used in multi-agent orchestration, structured RAG, and enterprise automation.

02

API & INTEGRATION LAYER

Provider abstraction and multi-model switching via unified interfaces.

AI-assisted WorkflowsAutomation PipelinesOCR SystemsDocument Intelligence ProcessingPrompt EngineeringAI API Orchestration
Client → API Gateway → Model Provider
03

DATA & RETRIEVAL LAYER

Contextual grounding using vector search and structured retrieval pipelines.

RedisBackground JobsCron WorkflowsFile Processing (PDF, Images, Structured Docs)Authentication & Authorization Systems
User QueryEmbedVector SearchContext InjectionModel
04

AGENT ORCHESTRATION

Stateful, multi-step reasoning systems with graph-based execution.

LangGraphCustom Agent Systems
PlannerToolsMemoryExecutorOutput
05

BACKEND & SECURITY

Authenticated, access-controlled, production-grade APIs.

AngularJS
RBACRate LimitingSecure Token Handling
06

PERCEPTION & DEEP LEARNING

Vision pipelines and domain-specific model training.

Deep LearningPyMuPDF (PDF reading / thumbnails)Pillow (image processing)pypdf
CNNMultimodal ProcessingEdge Inference
07

DEPLOYMENT & MONITORING

Scalable deployment with logging, monitoring and CI/CD.

LoggingCI/CDAPI Monitoring

Latency · Error Rate · Throughput · Cost

08

CLOUD INFRASTRUCTURE

Elastic compute across cloud and serverless environments.

DockerCI/CD PipelinesGit

Selected Projects

1 / 9
Code Improvement & E2E Testing Platform

Code Improvement & E2E Testing Platform

Problem

Software development often suffers from two major bottlenecks: slow, inconsistent manual code…

Solution

The system architecture is built around a Unified Workflow Orchestrator that manages isolated project workspaces.

Impact

Reduced time-to-market for new features by 40%.; Caught 95% of critical bugs before they reached…

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More projects

CORE Diagnostics – Sample Collection System

iOS

Developed a mobile-based sample collection system used by field staff to register patient samples directly from iOS and Android applications. The application captures patient and test details, generates a unique QR code for each sample, and enables QR-based scanning during laboratory accessioning. The system integrates with the LIMS backend to ensure accurate sample tracking, faster accessioning, and improved traceability across lab branches.

Tech
iOSAndroidLaravel APIsMySQL

Deep Dive Case Studies

Narratives of engineering journeys, from architectural decisions to deployment challenges.

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