Annie Siri
1.5+
Years of hands-on experience
AI Context Engineer

Annie Siri

AI Engineer focused on production-grade Generative AI systems combining multi-model intelligence, agent orchestration, and scalable cloud infrastructure. Transforming LLM capabilities into deployable solutions aligned with business workflows.

Profile

Languages
English, Telugu
Education
M.Tech AI & Data Science, Vellore Institute of Technology, BhopalMay 2026.
B.Tech CSE, Christhu Jyoti Institute of Technology and Science, Jangaon2020–2024.

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Tech Stack

Vector DBs & RAG
AWS S3 (boto3)DockerDockploy
Storage
SQLAlchemy 2AlembicUUID / JSONB
Backend & Auth
UvicornPydantic / pydantic-settingshttpx (async client)Argon2 (argon2-cffi)
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"Life is not a gallery of flawless victories — it's a Museum of Failures and a Gallery of Trying."

— Annie Siri

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.

AWS S3 (boto3)DockerDockploySQLAlchemy 2AlembicUUID / JSONB
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.

UvicornPydantic / pydantic-settingshttpx (async client)Argon2 (argon2-cffi)Bearer AuthenticationEnv-based SecretsReact Router 7Vite 6Tailwind CSS 4Framer MotionLucide ReactTypeScript
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.

PyMuPDF (PDF reading / thumbnails)Pillow (image processing)pypdf

Latency · Error Rate · Throughput · Cost

08

CLOUD INFRASTRUCTURE

Elastic compute across cloud and serverless environments.

AWSDockerDokploy

Selected Projects

Kutum – The Family Information OS

Kutum – The Family Information OS

Problem

Families juggle scattered data points—documents, health records, milestones—across chats and…

Solution

Modular architecture centered on three domains: People, Documents, and Health.

Impact

No more remembering dates or digging through WhatsApp.; Documents renewed on time; health…

Click to view details and links

More projects

Player Re-Identification System

YOLOv8

Developed a computer vision system using YOLOv8 and ByteTrack for player detection and tracking in sports videos, ensuring consistent ID assignment across frames. Implemented with Python, OpenCV, and boxmot to process 15-second 720p video, handling player re-entry with robust multi-object tracking. Documented with detailed README and shared on GitHub.

Tech
YOLOv8ByteTrackOpenCV

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