Sivaranjan A

AI Researcher

Chennai, Tamil Nadu, India1 yr 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building AI-powered applications and intelligent systems.
Proven track record in designing scalable data solutions.
Strong background in digital marketing and data-driven strategies.

Stackforce AI infers this person is a Data Engineering and AI specialist in the SaaS industry.

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Skills

Core Skills

Data EngineeringMachine Learning

Other Skills

Extract, Transform, Load (ETL)Data CleaningPythonSQLMySQLDockerGitData ModelingRetrieval-Augmented Generation (RAG)Generative AINeuro-Linguistic Programming (NLP)Prompt EngineeringLarge Language Models (LLM)Deep Neural Networks (DNN)Software Design

About

I help startups, businesses, and innovators worldwide leverage the power of AI, machine learning, and digital technology to create scalable solutions and meaningful impact. As an AI/ML Developer and Digital Marketer, I specialize in: Building AI-powered applications and intelligent systems using Python, TensorFlow, and OpenCV Designing and deploying AI agents and automation tools that boost productivity and decision-making Developing full-stack web solutions and cloud-based platforms for global audiences Driving growth strategies through digital marketing, content creation, and data-driven campaigns My work bridges technical expertise and creative problem-solving, combining cutting-edge AI research with real-world applications. I focus on making complex technologies accessible, practical, and impactful for users everywhere. 🌍 Open to collaborations and opportunities worldwide in AI development, AI agents, and digital transformation projects. 📩 Let’s connect and explore how AI and emerging technologies can shape the future of work together.

Experience

1 yr 3 mos

Total Experience

1 yr 3 mos

Average Tenure

Current Experience

Careerbytecode

AI/ML Engineer

Jun 2024 – Oct 2025 · 1 yr 4 mos · Belgium · Remote

AI/ML Engineer with 1.5 years of experience designing, building, and maintaining reliable data pipelines and data-backed applications. I work on transforming raw, fragmented data into clean, structured, and usable datasets that support analytics, automation, and operational decision-making.
My work focuses on ETL/ELT pipeline development, API-based data ingestion, data modeling, and database optimization using Python and SQL. I have hands-on experience building batch and near–real-time pipelines, validating data quality, and supporting low-latency dashboards used by internal teams and client-facing applications.
I collaborate closely with product teams, founders, and engineers to understand business workflows, translate them into scalable data solutions, and ensure data consistency across systems. I also have practical exposure to integrating machine learning outputs into data pipelines, ensuring models can be consumed reliably in production environments.
I enjoy working in fast-moving environments where data clarity, ownership, and clean architecture matter more than buzzwords.

Extract, Transform, Load (ETL)Data CleaningPythonSQLData EngineeringMachine Learning