AI Engineer
I’m an AI Engineer
Building agentic AI pipelines, LLM evaluation frameworks, and production ML tools that hold up under real-world messiness — not just clean benchmarks.
Final-year Data Science & AI student at IIIT Naya Raipur, currently working as an AI Engineer at Accure Inc — moving between agentic reasoning research and the production systems that put it to work.
Agentic AI workflows and prompt-engineering pipelines evaluated through a seven-dimension reliability framework.
Stress-testing agentic systems against synthetic adversarial datasets to catch failure modes before production does.
Detection systems trained on unlabeled data, built to catch defect types the training set never saw.
3
Roles held
3
Projects shipped
30+
Tools & frameworks
2026
Graduating
What I reach for when moving from a research idea to a working system.
Three roles, each closer to the model layer than the last.
Accure Inc · Bangalore, India
Taskar — India’s 1st Healthcare Mall · Remote
Research Designs and Standards Organisation (RDSO) · Lucknow, India
Agentic pipelines, vision systems, and NLP tools built end-to-end.
Custom MCP server wrapping the eCFR REST API with 7 typed regulatory-search tools, plus an end-to-end agentic pipeline (Agno + local Ollama Llama 3.1) producing validated compliance reports per contract clause. Cut runtime 65% (12min → 4:10) via concurrent retrieval and async caching.
Unsupervised anomaly-detection pipeline trained only on normal weld images to catch unseen defect types without labeled data, using PatchCore (Anomalib). Generates pixel-level explainable heatmaps alongside anomaly scores.
Explainable NLP-based ATS engine combining transformer semantic embeddings with keyword scoring across dual scoring modes. FastAPI backend + Streamlit UI surface missing-keyword detection with privacy-safe, auto-redacted parsing.
No projects in this category yet.
Open to AI Engineering roles and interesting problems in agentic systems, RAG, or applied ML — reach out.