Ramasubramanian B

AI/ML Engineer

Chennai, India 1+ yrs exp 87 · Excellent

About

Results-driven AI/ML Engineer proficient in Python and PyTorch, specializing in the end-to-end development of scalable LLM pipelines (RAG, RLHF), automated ELT cloud workflows, and anomaly detection architectures for production environments.

Skills & Expertise (24)

NumPy Intermediate

7.0/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

PyTorch Intermediate

7.0/10

Years Exp

Prompt Engineering Intermediate

7.0/10

Years Exp

scikit-learn Intermediate

7.0/10

Years Exp

HuggingFace Intermediate

6.5/10

Years Exp

LLMs Intermediate

6.5/10

Years Exp

RLHF Intermediate

6.5/10

Years Exp

TensorFlow Intermediate

6.5/10

Years Exp

RAG Pipelines Intermediate

6.0/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

ETL Intermediate

6.0/10

Years Exp

LangChain Intermediate

5.5/10

Years Exp

SQLite Intermediate

5.5/10

Years Exp

Azure Cloud Services Intermediate

5.5/10

Years Exp

API Integration Intermediate

5.5/10

Years Exp

System Design Beginner

4.5/10

Years Exp

Vector Databases Beginner

4.5/10

Years Exp

Groq Beginner

4.0/10

Years Exp

Supabase Beginner

4.0/10

Years Exp

Langsmith Beginner

4.0/10

Years Exp

ChromaDB Beginner

4.0/10

Years Exp

C/C++ Beginner

4.0/10

Years Exp

Java Beginner

3.5/10

Years Exp

Work Experience

LLM Post Intern

Ethara AI

Jan 2026 - Apr 2026

Evaluated multimodal data points and optimized RLHF and prompt engineering workflows, achieving a consistent 4.5/5 star rating for LLM response accuracy. Collaborated with engineering teams to formulate model deployment strategies, maintaining retraining pipelines and communicating technical trade-offs for production models.

AI Engineer Intern

Orants Innovations Pvt. Ltd.

Oct 2025 - Jan 2026

Engineered end-to-end cloud automation pipelines using n8n to streamline AI task routing and ETL workflows, significantly reducing manual operational overhead. Designed and deployed API integration workflows to connect complex data sources and publish structured outputs to downstream platforms. Administered tracking platforms to monitor project deliverables, maintaining a 100% on-time task submission rate aligned with business objectives.

Cybersecurity & ML Intern

C-DAC

Jan 2025 - Jul 2025

Spearheaded the end-to-end development of a deep learning architecture, achieving 90% training accuracy on a dataset comprising millions of records. Executed rigorous statistical strength and entropy analysis on machine learning models, significantly enhancing anomaly detection capabilities and system performance.