Parmeet Singh Talwar
1.5+
Years of hands-on experience
AI Context Engineer

Parmeet Singh Talwar

AI Context Architect focused on building scalable, production-grade Generative AI platforms and automation systems. Designing multi-agent architectures and cloud-ready backend systems aligned with real business workflows.

Profile

Languages
English, Hindi
Education
Integrated MTech, Vellore Institute of Technology, Bhopal, INCSE (AI)2026CGPA: 8.12

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Tech Stack

Agent Orchestration
LangGraphCustom Multi-Agent SystemsStructured Prompt EngineeringFunction / Tool Calling Workflows
Vector DBs & RAG
ChromaDBFAISSAdvanced RAG PipelinesRetrieval + Validation Layers
Storage
MongoDBRedis
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Certifications

"The true logic of this world is in the calculus of probabilities."

— James Clerk Maxwell

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.

OpenAI APIAnthropic APIGemini API
Client → API Gateway → Model Provider
03

DATA & RETRIEVAL LAYER

Contextual grounding using vector search and structured retrieval pipelines.

ChromaDBFAISSAdvanced RAG PipelinesRetrieval + Validation LayersContext EngineeringMongoDBRedisAdaptive Selectors & Fallback LogicCaching StrategiesStructured Extraction PipelinesResilient Ingestion Workflows
User QueryEmbedVector SearchContext InjectionModel
04

AGENT ORCHESTRATION

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

LangGraphCustom Multi-Agent SystemsStructured Prompt EngineeringFunction / Tool Calling Workflows
PlannerToolsMemoryExecutorOutput
05

BACKEND & SECURITY

Authenticated, access-controlled, production-grade APIs.

REST ArchitectureOpenAPI Schema DesignMicroservicesOAuth 2.0 (Instagram / Facebook)RBACOAuth 2.0API Access ControlStructured Output Validation
RBACRate LimitingSecure Token Handling
06

PERCEPTION & DEEP LEARNING

Vision pipelines and domain-specific model training.

OpenCVPyTorchTensorFlowObject DetectionSemantic Segmentation
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.

GitHub Actions (CI/CD)Task Queues & Async PipelinesGit

Selected Projects

1 / 5
Content Phase - The Ultimate AI Social Media Manager

Content Phase - The Ultimate AI Social Media Manager

Problem

Content Phase is a comprehensive platform that replaces the need for a social media agency.

Solution

The platform uses a layered microservices architecture designed for scale and reliability.

Impact

Reduced content creation from 2 hours to 5 minutes per post — 217+ hours saved monthly;…

Click to view details and links

More projects

Automated Financial Data Analysis

Python

Automated processing and categorization of large financial datasets using Python. Generated summary tables and business intelligence reports for actionable insights. Integrated data visualization tools to present trends and spending patterns.

Tech
PythonData AnalyticsAutomation

Deep Dive Case Studies

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

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