Résumé
Abhash Chakraborty
+91-7470-499-463 abhashchak14@gmail.com
linkedin.com/in/abhash-chakraborty github.com/abhash-chakraborty abhashchakraborty.tech
Education
Vellore Institute of Technology Sep 2022 – May 2027 (Expected)
Integrated M.Tech in Artificial Intelligence and Machine Learning Bhopal, India
Relevant Coursework: Deep Learning, Operating Systems, Database Management Systems, Data Structures & Algorithms,
and Digital Image Processing.
Technical Skills
Languages: Python, JavaScript, TypeScript, SQL, R
Frontend & APIs: React.js, Next.js, HTML/CSS, FastAPI, Fastify, REST API Development
AI & Automation: n8n, RAG, LLM Fine-Tuning, PyTorch, TensorFlow, OpenCV, Hermes Agent
Cloud & DevOps: AWS, OCI, Linux, VPS Administration, Docker, Dokploy, CI/CD, Git
Databases: PostgreSQL, pgvector, Redis, Supabase
Infrastructure Practice: Operate multiple Linux VPS for 24/7 web hosting and AI automation; manage Docker
deployments and a memory-enabled Hermes Agent across messaging, web, and terminal interfaces.
Experience
SAITS – Swiss AI Tech Services Sep 2026 – Present
Software Developer Switzerland
• Develop n8n automation workflows to connect services and automate business processes.
• Fine-tune AI models and integrate AI capabilities into software applications and automation workflows.
• Build software applications and websites, implementing frontend interfaces and REST API integrations.
Sports Naukri Sep 2025 – Mar 2026
Tech & Innovation Intern New Delhi, India (Hybrid)
• Developed Next.js frontend and Supabase-backed services, improving page load performance by 35%.
• Engineered a RAG-based document parsing workflow to automate candidate matching, reducing manual processing
overhead by 60%.
• Integrated Vercel KV rate limiting and real-time notifications, increasing user retention by 40%.
Projects
PentaVault: Runtime Secrets Control Platform May 2026
React.js, Next.js, Fastify, TypeScript, Docker, PostgreSQL, CLI GitHub
• Created an open-source secrets management platform combining a React/Next.js dashboard, Fastify backend, and
CLI-based runtime secret injection for AI-assisted development.
• Designed authentication, encrypted secret storage, project access policies, and runtime resolution workflows using
TypeScript and PostgreSQL.
• Added audit logging and deny-by-default access controls to limit plaintext secret exposure in local development
environments.
Find: Privacy-First Multimedia Intelligence Feb 2025
Python, FastAPI, CLIP, YOLOv8, pgvector, Redis GitHub
• Designed a Python/FastAPI multimedia search service with CLIP embeddings and pgvector, reducing query latency
by 350 ms and resolving three pipeline bottlenecks.
• Optimized index size by 20% through vector quantization and compression, enabling processing for 100,000+ images.
• Delivered an image recognition pipeline with 98% accuracy, 15% lower memory usage, and 30% higher image
processing throughput.
Certifications
• Oracle Cloud Infrastructure 2025 Certified Data Science Professional
• AWS Certified Solutions Architect - Associate
• Anthropic Claude 101 Certificate of Completion
• Anthropic AI Fluency: Framework & Foundations Certificate of Completion
