About Me
I'm a Python Engineer and Data Scientist specialising in scalable data infrastructure, machine learning pipelines, and backend system architecture. I have a proven track record of designing end-to-end chained ML forecasting systems, managing robust data integration layers, and migrating complex data architectures to relational environments.
I'm a strong advocate for secure, test-driven development and data governance within cloud environments. Currently, I'm building AI-powered forecasting systems at RTN Zero Consulting, where I architected a 6-stage chained ML pipeline and a conversational AI assistant with ReAct-style tool calling for the hospitality industry.
I hold an MSc in Artificial Intelligence from the University of Manchester and published research on deep learning for games.
Here are some technologies I've been working with:
- Python (6+ years)
- XGBoost & scikit-learn
- LLMs & ReAct Agents
- FastAPI & Django
- PostgreSQL & Prisma
- Docker & Kubernetes
- Linux (8+ years)
- TypeScript / Node.js
- BullMQ & Redis
- Azure DevOps & CI/CD
- Neo4j & Vector DBs
- Computer Vision (YOLO)
Skills, Experience & More
Skills
Tech stack & tools
Experience
Where I've worked
Projects
Things I've built
Education
Background & research
01. Skills & Technologies
Languages & OS
- Python (6+ years)
- Linux (8+ years)
- SQL
- TypeScript / Node.js
- C++
ML & AI
- XGBoost / scikit-learn
- LLMs & ReAct Agents
- RAG & Vector DBs
- Computer Vision (YOLO)
- PyTorch / TensorFlow
Data Engineering
- PostgreSQL / Prisma
- Neo4j (Graph DB)
- ETL Pipelines
- MongoDB
- FAISS / Pinecone
Backend & API
- FastAPI / Django
- Express / TypeScript
- BullMQ / Redis
- REST API Architecture
- Prisma ORM
DevOps & Cloud
- Docker / Kubernetes
- Azure DevOps / CI/CD
- AWS (S3, Databricks)
- Linux System Admin
- Git / DVC
Systems & Tooling
- Performance Profiling
- Denodo / Oracle / SAS
- Agile Methodologies
- Data Governance
- Zod / Schema Validation
02. Where I've Worked
Data Scientist & AI Backend Developer @ RTN Zero Consulting
- Architected a 6-stage chained ML forecasting pipeline (sales → menu → inventory → ops → shift → carbon) using XGBoost, served via FastAPI.
- Led MongoDB → PostgreSQL migration with dual-schema architecture and live POS data ingestion.
- Built a conversational AI assistant with ReAct tool-calling (Ollama LLMs) grounded in live DB data.
- Designed async job queues (BullMQ, Redis) for automated retraining and forecast caching.
- Developed a carbon emissions forecasting model covering Scope 1/2/3 with dish-level CO2 breakdowns.
Data Analyst (Data Engineering & DevOps) @ Subtle Solutions
- Built end-to-end Python data pipelines migrating commercial data to cloud storage lakes.
- Maintained CI/CD pipelines via Azure DevOps with 99.9% production uptime.
- Enforced data governance and compliance across cloud-based storage workflows.
Software Engineering Virtual Experience @ JPMorgan Chase & Co.
- Developed a real-time stock price data feed interface using Python for trader visualisation.
Java & Python Coding Intern @ Suven Consultants
- Engineered backend software for a "Consumer Loan Assistance Program".
03. Things I've Built
Knowledge Extractor RAG
Agentic RAG with Neo4j hybrid graph/vector retrieval, LangChain agent, and Django ingestion pipeline.
CorpRisk-AI
Enterprise risk assessment with FastAPI microservices, Docker/K8s, ML and NLP for financial anomaly detection.
SMLP (Intel Collaboration)
Symbolic ML Prover for formal verification of ML models, developed in collaboration with Intel engineers.
Multi-Doc Summarizer
Hybrid summarization using Sentence-Transformers, KMeans clustering, and BART refinement. Containerized with FastAPI.
RAG QA System
RAG pipeline with FAISS vector database and Flan-T5 for accurate, context-aware answers from custom documents.
Video-to-Book
AI pipeline transforming YouTube videos into Bionic Reading eBooks using Groq (Llama 3.3, Whisper-Large-v3).
MDM Adaptive Inference
Research implementation of adaptive token ordering in Masked Diffusion Models for reasoning in discrete domains.
04. Education & Research
MSc. Artificial Intelligence
University of Manchester — Manchester, UK
Large-Scale Systems, Computer Vision, Data Science, Cognitive Robotics
B.E. Computer Engineering
Bharati Vidyapeeth's College of Engineering — Pune, India
Data Engineering, Operating Systems, Network Security, NLP, Algorithms
Publication
Kadam Pratima, More Neel. et al. (2023) — "Deep Learning and Artificial Intelligence for Games", IOSR Journal of Computer Engineering.
Microsoft Azure Solutions Architect Expert (AZ-305) — LinkedIn Learning, 2026