Q: What are Kaushik's IEEE publications?

Two IEEE papers: 'Swarm Intelligence-Based Cooperative Intelligent Transportation System' (ICCIES 2025) and 'Cognitive Intrusion Detection System in Autonomous Vehicles Using Machine Learning' (ICPECTS 2024).

Q: What is Kaushik's tech stack?

Python, Go, FastAPI, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, PostgreSQL, Docker, Kubernetes, NVIDIA CUDA, Google Cloud Platform, and Microsoft Azure. Specializes in RAG pipelines, LLM fine-tuning (DeBERTa, QLoRA), and cloud observability.

Question 1

Who is Kaushik Saravanan?

Accepted Answer

Kaushik Saravanan is an AI/ML engineer and MS in Artificial Intelligence Engineering candidate at Carnegie Mellon University (ECE, expected December 2027), based in Pittsburgh, PA. He was previously an Associate Application Engineer at SAP Labs India (2024–2026), where he shipped production GDPR-compliant RAG and LLM systems to 400+ users. IEEE-published researcher and Smart India Hackathon 2022 winner.

Question 2

Is Kaushik Saravanan open to new AI/ML roles?

Accepted Answer

Yes. Kaushik is open to Summer 2027 AI/ML and RAG internships in the US, and full-time AI engineering roles starting January 2028 after his CMU MS-AIE graduation. Reach out via LinkedIn (linkedin.com/in/kaushiksss) or X (@Kaushiks0).

Question 3

Does Kaushik need visa sponsorship?

Accepted Answer

Kaushik is an F-1 international student at Carnegie Mellon University. He has 3-year STEM OPT eligibility after his December 2027 graduation, and is open to employers who sponsor H-1B afterward.

Question 4

What did Kaushik build at SAP Labs India?

Accepted Answer

At SAP Labs India (2024–2026) he engineered a GDPR-compliant, privacy-first RAG platform for SAP's internal chatbot. He scaled it to 2M+ documents and 400+ users with <2s p95 end-to-end latency, fine-tuned DeBERTa for Germany-specific PII detection (94% recall@10, MRR@10=0.82), and rewrote a credential-fetch client in dependency-free Go for 9,000+ Linux servers.

Question 5

What are Kaushik's IEEE publications?

Accepted Answer

Two IEEE papers: 'Swarm Intelligence-Based Cooperative Intelligent Transportation System' (ICCIES 2025) and 'Cognitive Intrusion Detection System in Autonomous Vehicles Using Machine Learning' (ICPECTS 2024).

Question 6

What is Kaushik's tech stack?

Accepted Answer

Python, Go, FastAPI, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, PostgreSQL, Docker, Kubernetes, NVIDIA CUDA, Google Cloud Platform, and Microsoft Azure. Specializes in RAG pipelines, LLM fine-tuning (DeBERTa, QLoRA), and cloud observability.

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