u/Significant_Cup_8778

HI CS grad 2026, looking for a full-time AI/ML OR JR roles. I build ML systems end-to-end and can explain and defend every line. My father recently passed away, and I need to step up and support my family financially. I'm highly motivated, a fast learner, and ready to contribute from day one.

What I've built:

• DocMind — Deployed RAG pipeline: OCR → chunking → sentence-transformers → FAISS → LLaMA on Groq. Live on Streamlit. Debugged the OCR and vector-store layers myself.
• HalluGuard — Hallucination detection benchmarked on RAGTruth; moved from cosine similarity to an NLI cross-encoder after diagnosing why topic-relatedness ≠ entailment.
• Attention guard (anti-doom scroller ) -
• Windows productivity tool to prevent doom-scrolling while studying. Built from my own idea, end-to-end.(for windows so you dont doom scroll while u study[MY OWN IDEA])

Stack: Python, PyTorch, TypeScript, sentence-transformers, FAISS, Kotlin/TFLite, Streamlit ,PYTORCH

Open to startups, small teams, and contract-to-hire roles.

Location: WILLING TO RELOCATE (21 f)

HI CS grad 2026, looking for a full-time AI/ML OR JR roles. I build ML systems end-to-end and can explain and defend every line. My father recently passed away, and I need to step up and support my family financially. I'm highly motivated, a fast learner, and ready to contribute from day one.

What I've built:

• DocMind — Deployed RAG pipeline: OCR → chunking → sentence-transformers → FAISS → LLaMA on Groq. Live on Streamlit. Debugged the OCR and vector-store layers myself.
• HalluGuard — Hallucination detection benchmarked on RAGTruth; moved from cosine similarity to an NLI cross-encoder after diagnosing why topic-relatedness ≠ entailment.
• Attention guard (anti-doom scroller ) -
• Windows productivity tool to prevent doom-scrolling while studying. Built from my own idea, end-to-end.(for windows so you dont doom scroll while u study[MY OWN IDEA])

Stack: Python, PyTorch, TypeScript, sentence-transformers, FAISS, Kotlin/TFLite, Streamlit ,PYTORCH

Open to startups, small teams, and contract-to-hire roles.

Location: WILLING TO RELOCATE (21 f)

looking for full-time AI/ML or Python roles. Open to paid internships as well if the work is real.

What I've actually built and shipped:

• DocMind — a RAG-based document Q&A app. Users upload PDFs and ask questions in natural language; answers come back grounded in the document with source citations. Text chunking, Sentence-Transformer embeddings, FAISS vector search, deployed live on Streamlit. Handled real edge cases like scanned image-only PDFs with no text layer, which I routed through OCR after debugging why extraction was returning empty.
• Attention Guard — real-time behavioural ML that detects attention drift from live signals. Continuous feature extraction feeding a logistic regression classifier, tuned for low-latency prediction rather than accuracy alone.
• Stack: Python, Kotlin, SQL, Scikit-learn, TensorFlow/Keras, Pandas, NumPy, LangChain, FAISS, Streamlit, Git, MySQL.
• Happy to share GitHub, live demos and resume over DM