Available for AI Infrastructure & Backend Systems
AI SYSTEMS & INFRASTRUCTURE ENGINEER

ANIKET.

Specialized in High-Performance Backend, LLM Pipelines & Agentic Infrastructure

Architecting production-grade AI systems, ultra-fast async backends, and multimodal signal processing pipelines.

AI INFRASTRUCTURE CANVAS (CLICK NODE TO INSPECT CODE)
Telemetry: 14ms Context Lookup
INPUT
DATA INGESTIONMultimodal Signals
PROCESSING
SIGNAL EXTRACTIONOCR / Vision / Audio
TRANSFORM
VECTOR EMBEDDINGLatent Representations
RAG
HYBRID RETRIEVALVector & Dense Search
MODELS
LLM REASONINGGenerative Intelligence
AGENTS
AGENTIC LOGICTool Orchestration
SYSTEM
BACKEND INFRAAPIs & Microservices
OUTPUT
PRODUCTION VALUEDeployed Intelligence
INPUT
DATA INGESTIONMultimodal Signals
PROCESSING
SIGNAL EXTRACTIONOCR / Vision / Audio
TRANSFORM
VECTOR EMBEDDINGLatent Representations
RAG
HYBRID RETRIEVALVector & Dense Search
MODELS
LLM REASONINGGenerative Intelligence
AGENTS
AGENTIC LOGICTool Orchestration
SYSTEM
BACKEND INFRAAPIs & Microservices
OUTPUT
PRODUCTION VALUEDeployed Intelligence
SIGNAL PROCESSING โ†’ LATENT REPRESENTATIONS โ†’ DEPLOYED INTELLIGENCE
SCROLL TO EXPLORE
METRIC // 01
0ร—
OCR Processing Speedup
15s โ†’ 3s Optimization
METRIC // 02
0%
Pose Extraction Accuracy
METRIC // 03
0%
Manual Analysis Reduction
METRIC // 04
RAG
Production LLM Pipeline
FastAPI + Vector DB
Career & Track Record

Engineering Experience

FinProhub

AI Finance Tracker PlatformPRODUCTION ACTIVE
Role: Backend & Systems Engineer
Nov 2025 โ€“ Present
  • โžข
    Tenforty SystemIntegrated Stripe Payment Gateway for PCI-compliant checkout sessions, recurring subscription lifecycle management, and automated invoice processing.
  • โžข
    Tenforty SystemEngineered zero-downtime Stripe Webhook listeners (checkout.session.completed, invoice.payment_succeeded) with idempotent database event processing and retry workflows.
  • โžข
    FinProhub CoreIntegrated Azure OCR + PaddleOCR fallback with Pydantic validation, reducing document processing latency from 15s down to 3s.
  • โžข
    FinProhub CoreBuilt RAG-powered chatbot for financial queries using vector embeddings and LLM generation.
  • โžข
    FinProhub CoreBuilt and shipped JWT-based authentication securing user sessions, REST APIs, and automated GoDaddy SMTP notification pipeline.
STACK:FastAPIStripe APIWebhooksAzure OCRPaddleOCRRAG / Vector DBJWTPostgreSQLGoDaddy SMTP
Academic Credentials

B.E. in Artificial Intelligence and Machine Learning

Bangalore Institute of Technology
2022 โ€“ 2026 ยท CGPA: 8.66 / 10
01Featured System

VIDBRAIN

AI Video Summarization System

AI pipeline that converts long-form videos into concise, topic-focused summaries with transcription, HDBSCAN semantic clustering, and vector search.

WhisperHDBSCANLLMsFAISSPythonFFmpegFastAPI
<60s
Processing Time (10m Video)
94%
Topic Clustering Accuracy
View Repository on GitHubโ†’
VIDBRAIN // Video-to-Summary AI Pipeline
๐Ÿ“น
10-Minute Raw Tech Presentation (.mp4)
5,200 Words Speech Transcript โ†’ 3 Bullet Summary
INPUT // VIDEO SIGNAL10:00
Audio Waveform & Transcripts
AI ENGINE // HDBSCANCOMPRESS
94% Compression
5,200 words โž” 3 key concepts
Deduplication & Clustering
OUTPUT // AI SUMMARY< 60s
โœ“FAISS Vector Indexing
โœ“Whisper + HDBSCAN Density
โœ“Zero Hallucination Bullet Output
Production Ready Summary
Pipeline: Speech-to-Text โ†’ Embedding โ†’ Clustering โ†’ SummarizationProcessing Time: <60s / 10m
02Featured System

3D MOTION ANALYSIS

Markerless Biomechanics Capture

Markerless motion capture system analyzing athlete biomechanics from standard video, providing a cost-effective alternative to sensor-based hardware.

OpenCVMediaPipePythonNumPyMatplotlibStreamlit
92%
Skeleton Extraction Accuracy
30%
Reduction in Manual Analysis
View Repository on GitHubโ†’
3D MOTION // Biomechanics Telemetry
KNEE FLEXION
132ยฐ
FPS RATE
60 FPS
KEYPOINTS
33 Joints
MediaPipe + OpenCV Inference: Active
03Featured System

AURA

Adaptive Unified Response Assistant

Adaptive AI assistant engineered for multi-turn reasoning, dynamic context selection, and automated task execution across heterogeneous datasets.

PythonLLMsAgentic AIPydanticFastAPIVector DB
3ร—
Faster Context Retrieval
98%
Intent Classification
View Repository on GitHubโ†’
AURA // Multi-Turn Intent Router Playground
3ร— Fast Context
DETECTED INTENT:TECHNICAL_EXPLANATION
ROUTER TARGET:FAISS / HNSW Vector Store
LATENCY BENCHMARK:14ms Context Assembly
04Featured System

FIELD ENCRYPTOR

Zero-Trust Data Protection Infrastructure

Lightweight, high-performance security utility for granular field-level encryption and secure payload transmission across distributed backend services.

JavaScriptCryptographyNode.jsSecurityREST APIs
<2ms
Encryption Latency
AES-256
Field Standard
View Repository on GitHubโ†’
FIELD ENCRYPTOR // Zero-Trust AES-256 Utility
๐Ÿ”’< 2ms Latency
โ— AES-256 GCM
enc_aes256_b9f1a04d83e2ENCRYPTED ๐Ÿ”’
05Featured System

AUDIO SUBTITLE EXTRACTOR

Multimodal Media Signal Pipeline

Automated signal processing utility designed to extract, segment, and align audio streams and subtitle metadata from complex multi-track video containers.

PythonFFmpegJavaScriptMedia ProcessingFastAPI
10ร—
Faster Track Extraction
100%
Stream Alignment
View Repository on GitHubโ†’
AUDIO & SUBTITLE // FFmpeg Signal Demuxer
Codec: AAC LC / Dual ChannelBitrate: 320 kbps
Engine: FFmpeg + Python Demux RouterAlignment: 100% Stream Sync
Philosophy

I don't start with the model.I start with the system.

01

PROBLEM

Define what needs to be solved, not what model to use

02

DATA

Understand the signal before choosing representation

03

REPRESENTATION

Embeddings, features, structured extraction

04

MODEL

Choose the right tool, not the trending one

05

EVALUATION

Measure what matters to the system

06

INFRASTRUCTURE

APIs, databases, authentication, monitoring

07

DEPLOYMENT

Ship it. Make it reliable.

Engineering Stack

Technical Ecosystem

Hover any technology to reveal interconnected AI pipeline & infrastructure dependencies.

AI / ML

LLMsRAGAgentic AITransformersPyTorchTensorFlowScikit-learn

Computer Vision / OCR

OpenCVMediaPipePaddleOCRAzure OCR

Backend / Infrastructure

FastAPINext.jsPydanticDockerGit

Databases

PostgreSQLMySQLMongoDBVector Databases
Engineering Background & Focus

"I bridge the gap between complex AI research and reliable production systems."

I am an AI Systems & Backend Infrastructure Engineer specialized in building resilient APIs, real-time multimodal processing pipelines, and vector-backed intelligence applications.

What I Deliver For Companies & Clients

1. Production AI & RAG Infrastructure

Architecting vector search databases (FAISS), hybrid BM25 + dense retrieval, and low-latency LLM agent pipelines with zero-hallucination guardrails.

2. High-Throughput REST & Payment Backends

Building zero-downtime Stripe payment integrations, webhook listener idempotency, JWT session security, and FastAPI microservices.

3. Multimodal Signal & OCR Optimization

Deploying Azure OCR + PaddleOCR computer vision fallback pipelines with Pydantic validation, optimizing document extraction latency by up to 80%.

Let's Connect & Collaborate

BUILD
SOMETHING
INTELLIGENT.

aniketpatilkrish11@gmail.com