PROVEN EVOLUTION

From Robotics to AI/ML Leadership

A dedicated 3-year technical trajectory: 2 years in robotics engineering, 1 year in backend Python systems, promoted to AI/ML Engineer at Creative Bees in September 2026.

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.

Certifications

Data Analysis using Python

NIELIT
June–July 2024

Data Analytics using R

Vani Analytics
October 2023

Google Data Analytics

Coursera
April 2023