Headline

ML/AI Engineer · Production ML, RAG & LLMs | Applying ML to Health & Bio | UK PG in Biological Sciences | Open to UK/EU/Gulf roles

About

ML/AI engineer with roughly 3 years building production machine learning systems, now focused on applying ML and NLP to biology and health. At Fluentgrid I designed and built a ward-level dengue outbreak forecasting system for a city-scale public health use case. I engineered models on lagged weather, seasonal, and demographic features with Airflow + Docker pipelines and weekly retraining, plus heatmap outputs intended for municipal health teams (projected to reduce intervention time by roughly 20-25%). I also built an internal RAG QA service (LangChain, Hugging Face, Milvus; 83% F1, <200ms latency). My open-source work includes DelphiConsensus (a multi-LLM consensus framework using a multi-agent orchestration pattern) and LangTran (a production RAG pipeline with multi-FAISS retrieval, cross-encoder re-ranking, and Flan-T5 generation). On the bio side: I hold a UK Postgraduate Award in Advanced Biological Science (University of Liverpool, 2022) and currently apply ML and NLP to bioinformatics data at IBAB Bangalore. Toolkit: Python, PyTorch, scikit-learn, Hugging Face, LangChain/RAG, Airflow, Spark, Kafka, Docker/Kubernetes, GCP (BigQuery, Dataflow, Pub/Sub), AWS. Open to mid-level ML/AI roles in the UK, EU and Gulf; I will require visa sponsorship.

Location

Bengaluru

AI stack

claude code

claude

codex

elevenlabs

opencode

Work experience

Project Assistant at Institute of Bioinformatics and Applied Biotechnology (IBAB), Apr 2026 - Present · 5 mos, Bengaluru, Karnataka, India, Applying ML techniques to bioinformatics data. Building ML pipelines for biological sequence analysis.

Data Analyst / Analytics Engineer at Fluentgrid Limited, Oct 2023 - Dec 2025 · 2 yrs 3 mos, Visakhapatnam, Andhra Pradesh, India, • Designed and built a ward-level dengue outbreak forecasting system using lagged weather, seasonal, and demographic features; Airflow + Docker pipelines with weekly retraining; heatmap outputs for municipal health teams (projected ~20-25% faster interventions, own estimate). • Built stormwater overflow risk models from 15-min telemetry + weather feeds for ops dashboards. • Solar adoption propensity segmentation across 120k households; nightly KPI dashboards via Airflow/Composer (~90% analyst time reduction). • Migrated legacy ETL to Airflow DAGs (~60% manual intervention cut); automated OCR from scanned PDFs. • Built an internal GenAI RAG QA prototype (LangChain, Hugging Face, Milvus; 83% F1, <200ms latency). Internal use only, with no clinical or biomedical claim. • Mentored 3 interns in DS/ML fundamentals.

Software Developer at Adarsha controls and automation pvt ltd, Apr 2023 - Sep 2023 · 6 mos, Bengaluru, Karnataka, India

Web Development Intern at Bhilai Steel Plant, SAIL, 2017 - 2017 · Less than a year, Bhilai, Chhattisgarh, India, We developed a web-based communication channel between the plant and vendors to keep a centralized record.

Education

Postgraduate Award, Advanced Biological Sciences, University of Liverpool

Bachelor of Technology - BTech, Computer Science with Specialization in Bioinformatics, Vellore Institute of Technology