You will get Enterprise Knowledge AI (RAG) & Secure Document Search
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Project details
Stop trusting public APIs with your proprietary enterprise data.
I am an Enterprise AI Architect specializing in zero-hallucination Retrieval-Augmented Generation (RAG) systems. Standard chatbots just guess. I architect Institutional Knowledge Engines grounded entirely in your facts, secured by enterprise-grade infrastructure.
🔵 Hybrid GraphRAG Search: Beyond basic vector databases. I combine semantic search with Knowledge Graphs to understand complex relationships in your data, guaranteeing perfect accuracy.
🔵 Strict Citations: The model proves every answer by pointing directly to the exact paragraph in your source documents.
🔵 Compliance-First Infrastructure: Architectures designed to pass SOC2, HIPAA, and GDPR audits. I deploy Local LLMs within Private VPCs with strict Role-Based Access Control (RBAC) and Multi-Tenancy isolation.
🔵 FinOps & Routing: Intelligent routing gateways that send simple queries to fast models and complex queries to reasoning models, cutting API costs by up to 60%.
Message me before purchasing to discuss your specific infrastructure and compliance requirements.
I am an Enterprise AI Architect specializing in zero-hallucination Retrieval-Augmented Generation (RAG) systems. Standard chatbots just guess. I architect Institutional Knowledge Engines grounded entirely in your facts, secured by enterprise-grade infrastructure.
🔵 Hybrid GraphRAG Search: Beyond basic vector databases. I combine semantic search with Knowledge Graphs to understand complex relationships in your data, guaranteeing perfect accuracy.
🔵 Strict Citations: The model proves every answer by pointing directly to the exact paragraph in your source documents.
🔵 Compliance-First Infrastructure: Architectures designed to pass SOC2, HIPAA, and GDPR audits. I deploy Local LLMs within Private VPCs with strict Role-Based Access Control (RBAC) and Multi-Tenancy isolation.
🔵 FinOps & Routing: Intelligent routing gateways that send simple queries to fast models and complex queries to reasoning models, cutting API costs by up to 60%.
Message me before purchasing to discuss your specific infrastructure and compliance requirements.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Enhanced Classification, Conversational AI, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, TensorFlow, Word2vecAI Models
ChatGPT, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$5,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 2 | 4 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | ||
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | ||
Model Testing & Optimization | |||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
AWS/Azure VPC Cloud Deployment
(+ 4 Days)
+$1,500
Additional Data Source Integration
(+ 3 Days)
+$750Frequently asked questions
18 reviews
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CH
Curtis H.
Feb 11, 2026
SaaS Launch Engineer – Stripe, SMS/Voice, Email & Calendar Setup (Day-0 Stack)
Extremely knowledgeable and diligent. 10/10
MB
Mark B.
Jan 16, 2026
BPA AI project
Prasoon is a great engineer and will deliver great results.
MH
Matt H.
Jan 13, 2025
Copy of Contact and Proposal Database Development (CRM web application)
I've worked on two projects with Prasoon. She build a pretty complex CRM system for me. I really enjoyed working with her and plan to do it again.
MH
Matt H.
Dec 4, 2024
Contact and Proposal Database Development (CRM web application)
Working with Prasoon was an absolute pleasure! She designed and built a fantastic CRM and custom proposal database that perfectly met our needs. From the very beginning, she took the time to understand our vision and worked closely with our team to bring it to life. Her cooperative and patient approach made the entire process seamless, even as we navigated some complex requirements.
Prasoon went above and beyond by guiding us through the setup process, ensuring that we were comfortable and confident using the new tools. Despite being located in India, her communication was impeccable, and she was always available to address our questions and concerns.
Her technical expertise, combined with her commitment to collaboration, made her a standout partner. I highly recommend Prasoon to anyone looking for a skilled, reliable, and genuinely pleasant developer to work with. She's a true professional, and we’re thrilled with the results of her work!
Prasoon went above and beyond by guiding us through the setup process, ensuring that we were comfortable and confident using the new tools. Despite being located in India, her communication was impeccable, and she was always available to address our questions and concerns.
Her technical expertise, combined with her commitment to collaboration, made her a standout partner. I highly recommend Prasoon to anyone looking for a skilled, reliable, and genuinely pleasant developer to work with. She's a true professional, and we’re thrilled with the results of her work!
Mv
Martin v.
Jun 26, 2024
Chatbot
Prasoon is an exceptionally talented programmer with extensive experience in her field. Her skills and knowledge set her apart from others. She is not only technically proficient but also highly reliable and detail-oriented.
During our collaboration, Prasoon has repeatedly demonstrated her ability to solve complex problems and deliver high-quality results. She brings innovative ideas and consistently finds efficient solutions that meet project requirements. Her ability to quickly learn and adapt to new technologies and concepts is impressive and showcases her passion for programming.
Moreover, Prasoon is an excellent team player, always willing to share her knowledge and support her colleagues. Her positive attitude and dedication significantly contribute to the success of any project.
I wholeheartedly recommend Prasoon and am confident that she will be a valuable asset in any position or project.
During our collaboration, Prasoon has repeatedly demonstrated her ability to solve complex problems and deliver high-quality results. She brings innovative ideas and consistently finds efficient solutions that meet project requirements. Her ability to quickly learn and adapt to new technologies and concepts is impressive and showcases her passion for programming.
Moreover, Prasoon is an excellent team player, always willing to share her knowledge and support her colleagues. Her positive attitude and dedication significantly contribute to the success of any project.
I wholeheartedly recommend Prasoon and am confident that she will be a valuable asset in any position or project.
About Prasoon
AI Architect & Full-Stack Engineer | RAG, Agents, SaaS, CRM & ERP
100%
Job Success
Bengaluru, India - 8:32 pm local time
My developed products are OWASP-secure and cost-optimized.
I prevent costly architectural mistakes, ensure data governance (SOC2/HIPAA) and lead engineering teams to deliver assets.
I specialize in rescuing stalled AI initiatives and architecting greenfield solutions that handle 100k+ concurrent users without breaking the bank or leaking data.
With a focus on SOC2/HIPAA compliance and OWASP security, I de-risk complex engineering projects for Fortune 500s and high-growth startups.
CORE EXPERTISE:
🔵 Technical Due Diligence: I audit codebases, cloud infrastructure, and AI roadmaps for investors and founders to assess risk and scalability.
🔵 Build vs. Buy Strategy: I stop you from burning cash on custom models when an API is sufficient and I tell you when to build in-house to create a competitive moat.
🔵 Team Leadership: I mentor senior engineering teams, establishing CI/CD, MLOps, and documentation standards.
🔵 Vendor Management: I handle the selection and negotiation of LLM providers, Vector Databases, and Cloud Vendors (AWS/Azure).
Enterprise AI Architecture & Strategic Roadmap
🔵 AI Security, Governance & Compliance
𖦹 Data Sovereignty: Deploying Local LLMs (Llama 3, Mistral) within private VPCs (AWS/Azure) to ensure Zero Data Exfiltration.
𖦹 RBAC & Multi-Tenancy: Implementing Row-Level Security (RLS) and Schema Isolation so that User A never sees User B's data -- critical for SOC2, HIPAA, and GDPR audits.
𖦹 PII/PHI Redaction: Integrating presidio-based scrubbing pipelines to automatically redact sensitive information before it hits the inference layer.
🔵 High-Performance Infrastructure & MLOps
𖦹 Event-Driven Architecture: Decoupling inference from user interfaces using Kafka/RabbitMQ and Redis queues to handle burst traffic (100k+ concurrents) without timeouts.
𖦹 LLMOps & Observability: Implementing tracing and evaluation stacks (LangSmith, Arize, MLflow) to monitor token latency, drift, and cost-per-query in production.
𖦹 Infrastructure as Code: Fully automated deployments using Terraform and Kubernetes (EKS/AKS) for reproducible, crash-proof environments.
🔵 Advanced RAG & Knowledge Graph Engineering (GraphRAG)
𖦹 Beyond Basic Vectors: I architect Hybrid Search systems (Semantic + Keyword) using Pinecone/Weaviate combined with Knowledge Graphs (Neo4j) to ground LLMs in factual reality.
𖦹 Hallucination Control: Implementation of Citations, Confidence Scores, and "Guardrails" to ensure the model refuses to answer rather than making things up.
𖦹 Data Ingestion Pipelines: Building fault-tolerant ETL pipelines (Airflow/Dagster) to sync unstructured PDFs, SharePoint, and SQL data into vector stores in real-time.
🔵 Autonomous Agent Orchestration
𖦹 Multi-Agent Systems: Architecting stateful agent swarms using LangGraph and CrewAI that can break down complex objectives into deterministic tasks.
𖦹 Tool Use & Function Calling: securely connecting LLMs to internal APIs (Stripe, Salesforce, ERPs) using OpenAPI schemas with strict permission boundaries.
𖦹 Reliability Layer: Building "Self-Healing" workflows where agents detect errors and retry logic automatically without human intervention.
🔵 FinOps: AI Cost Optimization & Model Routing
𖦹 The "Model Router" Pattern: Architecting gateways that route simple queries to cheaper models (GPT-4o-mini/Haiku) and complex queries to reasoning models (o1/Claude Opus), reducing bills by ~60%.
𖦹 Semantic Caching: Implementing Redis-based semantic caching to serve repeat queries instantly for $0 cost.
𖦹 Quantization Strategy: Deploying quantized models (AWQ/GGUF) on optimized GPU instances to maximize throughput per dollar.
Technical Capabilities
While I operate at the strategic level, I remain hands-on to ensure architectural integrity.
𖦹 AI & LLM Ops: OpenAI (GPT-4o), Anthropic (Claude 3.5), Llama 3 (Fine-tuning), DSPy, LangChain, LangGraph, AutoGen.
𖦹 Vector & Data: Pinecone, Weaviate, Neo4j (GraphRAG), PostgreSQL (pgvector), Redis (Semantic Caching).
𖦹 Enterprise Cloud: AWS (SageMaker, Bedrock, Lambda), Azure AI Studio, Kubernetes (EKS/AKS), Terraform (IaC), Docker.
𖦹 Backend & Security: Python (FastAPI/Django), OAuth2/Auth0, OWASP Top 10 Security Standards.
EXECUTIVE PORTFOLIO
🔵Global Manufacturing Conglomerate | Fortune 500 Industrial AI
Orchestrated a distributed computer vision architecture to automate safety compliance across global facilities, replacing manual inspections and immediate OpEx reduction
🔵Bank Knowledge OS (Secure GraphRAG) (FinTech)
Engineered an institutional-grade Retrieval-Augmented Generation engine (Vector + Knowledge Graph) for analyzing complex SEC regulatory filings
Steps for completing your project
After purchasing the project, send requirements so Prasoon can start the project.
Delivery time starts when Prasoon receives requirements from you.
Prasoon works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture Design & Data Ingestion
Designing the vector schema and building secure ETL pipelines to parse, chunk, and embed your initial dataset into the vector database.
LLM Routing & Hallucination Guardrails
Implementing the retrieval logic, configuring semantic search, and enforcing strict citation rules so the AI cannot hallucinate or guess.