ENGINEERING INTELLIGENT SOFTWARE SYSTEMS

Battle-tested software engineering specialized in AI/ML algorithms, enterprise LLMs with RAG, domain-specific fine-tuning, autonomous automation pipelines, and global-scale distributed APIs.

FLAGSHIP_PRODUCT • FIXED_DELIVERY

ENGINEERING PACKAGES. FIXED PRICING. ZERO OVERHEAD.

No expensive teams of engineers working forever on a project. No recruitment delays or runaway burn rates. Choose the engagement level that fits your stage — from strategic advisory to full production launch — all with fixed pricing, senior architects, and locked scope commitments.

STRATEGIC ADVISORY
$2,500
Expert guidance • 1–2 weeks
  • Architecture Review & Design
  • Security & Infrastructure Audit
  • Integration & Migration Plans
  • Technical Roadmap & Recommendations
RAPID PROTOTYPE
$10,000
Demo product • 1-month sprint
  • Working Demo / MVP Product
  • Fast Iterations, Client-in-the-Loop
  • Core Feature Implementation
  • Deployment-Ready Handoff
PROVEN_TRACK_RECORD

NOTABLE DEPLOYMENTS

A selection of mission-critical systems and AI architectures engineered for tier-1 enterprises, global logistics, financial institutions, and biopharma leaders.

CLIENT: BOLT OU
[ SCALE: MULTI-NATIONAL ]

Bolt Food Public API & Enterprise POS Integration Engine

Architected and engineered the public Bolt Food API platform, establishing real-time integration conduits between Bolt Food and global food service enterprises, POS vendors, and enterprise chains (including McDonald's, KFC, and major multi-unit franchises).

  • Enabled real-time bidirectional menu synchronization and automated order fulfillment pipelines.
  • Scaled across tens of countries, supporting thousands of concurrent restaurant endpoints with high availability.
  • Designed resilient WMS, POS, and central order management integration interfaces.
Public API ArchitecturePOS / WMS IntegrationReal-Time WebhooksHigh-Throughput Distributed Systems
Bloomberg
CLIENT: BLOOMBERG LP
[ DOMAIN: FINANCIAL NLP ]

AI Search Query Disambiguation & NLP Information Retrieval

Engineered advanced NLP models within Bloomberg's AI News Search division to resolve ambiguous financial search queries, accurately tagging multi-intent searches, company tickers, and investment entities in sub-millisecond windows.

  • Elevated search relevancy across millions of daily news queries from global financial institutions, governments, and hedge funds.
  • Integrated deep contextual disambiguation into high-volume financial information retrieval pipelines.
  • Optimized semantic parsing models for ultra-low latency real-time news retrieval.
NLP / DisambiguationInformation RetrievalSearch Ranking ModelsHigh-Frequency Data
CLIENT: PFIZER
[ DOMAIN: HEALTHCARE / BIOPHARMA ]

Precision Medicine Clinical AI & Multi-Agent RAG Platform

Engineered core components of a cloud-native precision medicine platform, leveraging Large Language Model agents and Retrieval-Augmented Generation (RAG) to individualize clinical analytics and treatment intelligence at the point of care.

  • Developed Python-based LLM agent swarms using LangChain, LangSmith, and custom LangTools.
  • Built scalable asynchronous data pipelines utilizing AWS S3, SQS messaging, and secure cloud storage.
  • Constructed exhaustive automated validation suites, integration tests, and clinical reliability guardrails.
LangChain / LangSmithMulti-Agent RAGAWS S3 / SQSClinical Analytics
CLIENT: ZOETIS
[ SCALE: GLOBAL VET DIAGNOSTICS ]

Global Diagnostic Hubs & Distributed Lab Ingestion Engine

Architected and engineered distributed proxy services and high-throughput ingestion pipelines on the Hubs team, processing thousands of daily diagnostic lab requests, biodevice feeds, and test orders from veterinary clinics worldwide.

  • Engineered event-driven microservices with NestJS, Express, and real-time WebSockets/Webhooks for seamless clinic telemetry.
  • Implemented high-reliability multi-format ingestion pipelines parsing vetXML and JSON with optimized MongoDB indexing, TTL policies, and CRUD safety.
  • Integrated end-to-end DevOps automation on Microsoft Azure (AKS/Kubernetes, EventHub, Docker, GitHub Actions CI/CD) and full-stack proxy interfaces with React and Vite.
NestJS & ExpressvetXML & JSON IngestionMongoDB & CosmosDBAzure Cloud & AKSEvent-Driven Architecture
CLIENT: WILLIAM PRATT, INC.
[ DOMAIN: QUANTITATIVE TRADING ]

Predictive Intraday Stock Modeling & Strategy Optimization Engine

Developed a high-performance market simulation and predictive forecasting engine for US equities, delivering real-time decision support and dynamic threshold adaptivity for quantitative trading desks.

  • Constructed an intraday market simulator processing minute-by-minute feeds for high-volume US securities.
  • Implemented real-time model retraining pipelines that assess and adapt to shifting intraday market conditions.
  • Engineered live ticker recommendation algorithms identifying equities poised to hit specific volatility thresholds.
Predictive ModelingReal-Time Market IngestionQuantitative SimulationAlgorithmic Trading
CLIENT: UK DEPARTMENT FOR EDUCATION
[ ARCHITECTURE: AWS SERVERLESS ]

Autonomous AI Copilot for Examination Evaluation & Grading

Architected the public API and cloud microservice backbone for an AI evaluation copilot that automates exam grading across multi-disciplinary curricula, enforcing objective evaluation standards while eliminating marker variance.

  • Engineered serverless AWS infrastructure (Lambda, API Gateway, DynamoDB, SNS/SQS, Cognito, CloudFormation, S3, IAM).
  • Integrated automated usage metering and subscription billing via Lago.
  • Delivered comprehensive OpenAPI / Swagger documentation pipelines and bulletproof security isolation for institutional student data.
AWS Lambda & ServerlessMachine Learning EvaluationLago Metering & BillingDynamoDB & SQS
SPECIALIZATION

TECHNICAL CAPABILITIES

Engineered from first principles. We design, fine-tune, and deploy mission-critical intelligence pipelines.

[ ML_CORE ]<AI>

AI & Machine Learning

Custom predictive modeling, computer vision systems, anomaly detection algorithms, and deep neural network training for domain-specific intelligence.

  • Custom Loss Optimization & Training
  • Computer Vision & Audio Pipelines
  • Edge & TensorRT Acceleration
PyTorch • Scikit • ONNX
[ RAG_CORE ]<RAG>

LLMs & Advanced RAG

Production-grade Retrieval-Augmented Generation connecting LLMs with private document corpora. Dense + sparse hybrid vector search with reranking.

  • Context-Aware Recursive Chunking
  • Reciprocal Rank Fusion (RRF)
  • Zero-Hallucination Guardrails
Qdrant • Pinecone • LlamaIndex
[ FT_LORA ]<LORA>

LLM Fine-Tuning

Parameter-efficient adaptation (LoRA, QLoRA, DPO) on proprietary reasoning datasets, followed by quantization for low-cost private infrastructure hosting.

  • Domain Instruction Adaptation
  • AWQ / GGUF 4-Bit Quantization
  • High-Throughput vLLM Serving
LoRA • Axolotl • vLLM
[ AUTOMATION ]<AGENT>

Intelligent Automation

Autonomous multi-agent swarms and intelligent document extraction that eliminate manual back-office tasks and interface with internal tools.

  • Multi-Agent Decision Loops
  • Automated OCR & Data Extraction
  • Self-Healing Error Recovery
LangGraph • Celery • n8n
[ API_SYSTEMS ]<REST>

API & Backend Integrations

High-throughput backend APIs bridging AI intelligence into legacy ERPs, CRMs, financial ledgers, and third-party SaaS ecosystems.

  • Async Streaming WebSockets
  • High-Throughput gRPC & REST
  • Event-Driven Kafka Architecture
FastAPI • gRPC • Redis
[ FULL_STACK ]<STACK>

Full-Stack Development

Ultra-fast, responsive web interfaces backed by resilient cloud infrastructure, automated CI/CD deployment pipelines, and SOC2-ready security.

  • React / Next.js / TypeScript
  • Containerized Docker / K8s Infra
  • Real-time Token Streaming UI
Next.js • Node • Docker • AWS
ENGINEERING_STANDARDS

HOW WE OPERATE & DELIVER

Rigorous standards across security, code architecture, and complete end-to-end lifecycle execution.

[ PRIVACY & SECURITY ]

We architect secure deployments, private VPC environments, and enterprise-grade role-based access control so your proprietary training data, embeddings, and intellectual property remain 100% confidential and under your ownership.

[ QUALITY & MAINTAINABILITY ]

Clean, modular architectures built for long-term scalability. We adhere to strict type-safety, comprehensive automated test suites (unit, integration, and E2E), deterministic execution, reproducible environments, and exhaustive documentation.

[ FULL LIFECYCLE SUPPORT ]

True turn-key partnership. We guide systems across the entire lifecycle: initial discovery, technical system design, data preparation & model fine-tuning, robust implementation, automated cloud deployment, and 24/7 production monitoring, telemetry, and ongoing model maintenance.

ENGAGEMENT

INITIATE COLLABORATION

[ DIRECT_CONTACT ]

Share your project requirements, technical specifications, or timeline. You can submit an inquiry via the form, email us directly, or book an introductory 1:1 call.

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