🚀 Swastik Prakash

AI/ML Engineer • NLP + Multimodal Systems • Scalable Applied Intelligence

I’m a B.Tech CSE undergraduate (Class of 2027) focused on building reliable, scalable AI systems that solve practical problems.
My work spans:

• Applied NLP (semantic similarity, trust analysis, LLM workflows)
• Multimodal AI systems (text + speech + vision)
• End-to-end engineering (model pipelines, APIs, deployment, cloud integration)

🎯 I’m actively looking to contribute to GSoC/open-source AI & developer tooling projects where system thinking and execution quality matter.

👨‍💻 Languages

🤖 AI / ML / Data Science

⚙️ Backend / Systems

☁️ Cloud & DevOps

• ✅ Production-grade AI backend engineering
• ✅ Model inference optimization and reliability
• ✅ Scalable API architecture for ML systems
• ✅ Open-source contribution readiness (clean code, docs, reproducibility)

Python • Flask • OpenAI API • GCP

• Built a production-grade multimodal triage system with LLM reasoning and persistent context.
• Designed real-time SOS override flow for immediate emergency handling.
• Automated SOAP report generation from unstructured patient interaction logs.

Python • RoBERTa • Flask • REST APIs

• Developed a fake-review detection pipeline processing 1000+ reviews/product.
• Built deterministic trust scoring from linguistic + behavioral anomaly signals.
• Engineered robust preprocessing + feature pipelines for noisy real-world data.

Python • NLP • Speech Processing • ML

• Designed semantic similarity-based scoring aligned to rubric-driven evaluation.
• Combined speech + visual cues into unified candidate assessment workflows.
• Generated normalized, bias-aware evaluation summaries at session scale.

• 🥇 1st Place — Build with Gemini × MLH, Zetech HackDay (International, 2026)
• ✅ Oracle Certified AI Foundations Associate (OCI)
• ✅ Google Cloud Study Jam — GDSC
• ✅ CDAC Noida — Bootcamp on Cloud Computing (FutureSkills PRIME)

B.Tech in Computer Science Engineering (Expected 2027)
Jaypee Institute of Information Technology (JIIT)

Relevant coursework:
Data Structures & Algorithms • Machine Learning • Artificial Intelligence • Big Data Analytics

I’m actively interested in contributing to projects in:

• AI/ML infrastructure
• NLP tooling
• Developer productivity platforms
• Scalable backend systems for intelligent applications

If your org needs a contributor who can move from idea → architecture → implementation → deployment, let’s connect.

“Leveraging AI to engineer solutions that actively improve reality.”