About
I’m Anish, an MS Computer Science student at Rutgers focused on ML and AI engineering. My work spans clinical transformers, information retrieval, and full-stack AI applications.
Currently in New Brunswick. Previously, Mumbai.
Education
Course names below are a selection, not a full transcript.
Rutgers University, New Brunswick
MS Computer Science, AI & ML Track · GPA 3.75 / 4
September 2025 to Present
Currently taking
- Machine Learning
- Brain Inspired Computing
- Software Engineering I
Previously taken
- Introduction to Artificial Intelligence
- Massive Data Mining
- Operating System Design
- Database Systems for Data Science
- Internet Services
- Topics in Computers in Biomedicine
Thakur College of Engineering & Technology, University of Mumbai
B.Tech, Internet of Things · CGPA 9.50 / 10
Ranked 2nd in the batch
December 2021 to May 2025
Coursework
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Foundation for Data Science
- Social Network Analysis
- Data Structures
- Database Management Systems
- Operating Systems
- Data Communication and Computer Networks
- Cryptography and Network Security
- Cloud Computing
- Microprocessor and Computer Organization
- Introduction to IoT and Sensor Technology
- IoT Networking and Protocols
What I work with
A few tools from my toolkit.
Python
The language nearly all of this is written in, from retrieval and vision services through to the training code.
Used in Semantic Search, VTrack and VeritasAI
The eight above are not repeated here.
- Languages
- JavaScript, TypeScript, C, SQL
- Machine learning
- TensorFlow, scikit-learn, Pandas and NumPy, Transformers and attention, LSTM, Fine-tuning, PPO and DQNUsed in Sunspot Transformer and QuantVision
- Retrieval & language models
- LLMs and RAG, LangChain, Sentence Transformers, Hugging Face, Qdrant and ChromaDB, BM25, Cross-encoder reranking, NDCG and MRR, Gemini API, Groq and LLaMA, Prompt engineeringUsed in Semantic Search and DocPilot
- Computer vision
- YOLOv8, ByteTrack, OpenCV, Ultralytics, Object detection, Multi-object trackingUsed in VTrack
- Web & backend
- Next.js and React, Flask, REST APIs, Streamlit, Supabase (PostgreSQL + RLS), Firebase, Tailwind CSS, shadcn/uiUsed in SkillGap and Vouch
- Deployment & infrastructure
- AWS and GCP, Vercel, Git and CI/CD, Model deployment, Inference optimization, Weights & Biases, Hugging Face Spaces, Anaconda
Certifications
Model Context Protocol: Advanced Topics
Anthropic Education, via Skilljar
11 March 2026
Advanced Model Context Protocol concepts including multi-server orchestration, resource management, and building production-grade AI tool integrations.
Introduction to Agent Skills
Anthropic Education, via Skilljar
5 March 2026
Foundational training on building and deploying intelligent agent skills, covering prompt engineering, tool use, and agentic workflows.
Fundamentals of LLMs, The LLM Course
Hugging Face
12 March 2026
The Fundamentals of LLMs module of The LLM Course, covering transformer architectures, tokenization, and modern LLM training paradigms.
AI Agents Fundamentals
Hugging Face
Hugging Face's AI Agents Fundamentals credential, listed on the latest resume.
AWS Educate: Getting Started with Compute
Amazon Web Services
AWS Educate training badge covering foundational cloud compute services including EC2, Lambda, and container deployments.
Introduction to Generative AI Studio (Google Cloud course)
Simplilearn
April 2024
A Simplilearn course-completion certificate for the Google Cloud Introduction to Generative AI Studio curriculum.
Credential ID 5051552
AI & Machine Learning with Azure (Codeless) workshop
Thakur College of Engineering & Technology
February 2023
A departmental workshop on building AI and machine learning solutions on Azure without writing code.
Dates come from the issued credential where one is linked. Where no credential page was available to check, the date comes from the source noted in the content data, or is omitted rather than guessed.