PROMOTED TO AI/ML ENGINEER • SEPT 2026 – PRESENT

PRASANNAB

Promoted to AI/ML Engineer at Creative Bees (Sept 2026 – Present) following 1 year as Python Developer and a 2-year foundation in Robotics Engineering. Architecting autonomous multi-agent loops, multimodal Vision-Language Models, and sub-200ms production deep learning inference.

Agentic AIVision-Language ModelsDeep LearningPyTorch & CUDARAG Systems

Explore AI Models Get in Touch

MODEL TELEMETRY HUDRUNNING

ACTIVE SYSTEMcreative-bees/vlm-agent:v2.4

INFERENCE LATENCY142 ms (FP16 TensorRT)

LIVENESS ACCURACY99.2% (Deep CNN)

HARDWARE TARGETNVIDIA CUDA Core Cluster

PRODUCTION PIPELINES

LangGraph Autonomous Multi-Agent Loop

Qwen3 + FireRedOCR Multimodal Extraction

FAISS Dense Vector RAG Retrieval Engine

3+ YrsEngineering

50+AI Repositories

Career Progression Stages

01 • ORIGIN

Robotics Engineer

RobomaticJun 2023 – Jul 2025 • 2 Yrs

Engineered embedded systems & sensor control loops.
Conducted software QA, unit testing & testbench automation.
Instructed 150+ engineers in applied Python & robotics.

02 • SCALE

Python Developer

Creative BeesAug 2025 – Aug 2026 • 1 Yr

Architected production Python backend microservices & REST APIs.
Built automated data pipelines with 99.9% reliability.
Prototyped initial ML integrations & OCR feature pipelines.

03 • CURRENTPROMOTED

AI / ML Engineer

Creative BeesSept 2026 – Present • Promoted

Leading autonomous Agentic AI loops (LangChain & LangGraph).
Building multimodal Vision-Language (VLM) document models.
Serving production deep learning models with sub-200ms latency.

Core AI Competencies

Generative AI & LLMs

Domain-specific chatbots, RAG pipelines, and dense FAISS vector embeddings.

Multimodal VLM & CV

Qwen3 + FireRedOCR document parsing and deep CNN anti-spoofing liveness detection.

Deep Learning Core

PyTorch & TensorFlow model training, custom loss architectures, and CUDA acceleration.

MLOps & Fast Inference

FastAPI microservices, Docker containerization, TensorRT optimization, and API orchestration.

Legacy Code vs. Autonomous AI Benchmark

Compare manual deterministic operations against modern neural agent execution.

Deterministic / Manual2 hrs / day

Fragile regex scripts & manual cross-app copy-pasting.

Neural / Agentic Pipeline1.2 sec

Nami Autonomous Agent cognitive loop plans & calls tools zero-shot.

AI / ML TECHNICAL ARSENAL

Frameworks & Tooling

Architecting from multi-modal vision-language models and deep neural networks to production-grade agentic AI systems.

PyTorchTensorFlowAgentic AILangChainLangGraphVLMOpenCVYOLOv8RAG SystemsFAISSHugging FaceTransformersFastAPIDockerStable DiffusionCUDAScikit-learnWhisper AIONNXVector DBsQwenGemini APIPyTorchTensorFlowAgentic AILangChainLangGraphVLMOpenCVYOLOv8RAG SystemsFAISSHugging FaceTransformersFastAPIDockerStable DiffusionCUDAScikit-learnWhisper AIONNXVector DBsQwenGemini API

Deep Learning & Core ML

Neural architecture design, mathematical optimization, and predictive modeling.

PyTorchTensorFlowScikit-learnCUDAKerasONNXNumPyPandas

Generative AI & Agentic Systems

Autonomous reasoning loops, multi-agent swarms, and retrieval-augmented systems.

LangChainLangGraphAgentic AIRAG PipelinesFAISSVector DBsGemini APIQwenPrompt Engineering

Computer Vision & Multimodal VLM

Visual perception, spatial segmentation, document understanding, and audio synthesis.

OpenCVVision-Language Models (VLM)YOLOv8FireRedOCRCNNsFace Anti-SpoofingStable DiffusionWhisper AI

MLOps, Data Pipelines & Serving

Production packaging, low-latency model inference, and containerized deployment.

FastAPIDockerHugging FaceModel QuantizationStreamlitGitJupyterModel ServingPython

PROMOTED TO AI/ML ENGINEER

AI / ML Engineer

Creative Bees

Sept 2026 – Present Coimbatore, Tamil Nadu, India

Promoted to lead production AI initiatives: architecting autonomous Agentic AI loops using LangChain and LangGraph for dynamic planning and multi-tool orchestration.
Developing high-throughput multimodal Vision-Language (VLM) pipelines (Qwen3, FireRedOCR) for unstructured document intelligence and zero-shot entity extraction.
Engineering and serving containerized Deep Learning inference microservices with FastAPI and Docker, achieving sub-200ms latency for production workloads.
Designing vector search retrieval architectures (RAG) powered by FAISS and dense transformer embeddings, boosting context precision and reducing model hallucination.

Agentic AIVision-Language Models (VLM)PyTorchLangChainLangGraphFastAPIDockerRAG SystemsFAISS

Python Developer

Creative Bees

Aug 2025 – Aug 2026 (1 Year)Coimbatore, Tamil Nadu, India

Built and scaled core Python backend microservices, RESTful APIs, and asynchronous message workers for business software applications.
Engineered automated data ingestion and preprocessing pipelines, ensuring 99.9% uptime and reliable integration across disparate data sources.
Integrated machine learning prototypes and OCR services into customer-facing web and mobile applications, laying the groundwork for full-scale AI adoption.
Conducted code reviews, unit testing, and Docker containerization to streamline CI/CD deployment cycles.

PythonFastAPIMicroservicesREST APIsDockerPostgreSQLData PipelinesBackend Architecture

Robotics Engineer

Robomatic

Jun 2023 – Jul 2025 (2 Years)Coimbatore, Tamil Nadu, India

Served 2 years engineering embedded robotics control systems, sensor interfacing, and hardware-software communication protocols.
Trained and mentored 150+ students and technical professionals in Python fundamentals, software testing, quality assurance, and applied engineering.
Conducted extensive hands-on technical workshops covering machine learning concepts, computer vision fundamentals, and sensor automation pipelines.
Maintained lab hardware testbenches, automated test suites, and guided learners from theoretical algorithms to functional, working physical prototypes.

Robotics SystemsEmbedded SystemsSensorsPythonSoftware TestingQuality AssuranceTechnical Mentorship