Adil Imran Pintoo

I build production data and AI systems — ingestion pipelines that don't fall over, orchestration platforms that run hundreds of jobs unattended, and LLM/RAG services that ship to Kubernetes instead of staying in a notebook. Most recently I built an AI-powered ESG scoring platform end to end at a mutual fund manager, from PDF ingestion to a production FastAPI service serving 2,000+ listed companies.

Based in Mumbai, India. I care about the unglamorous parts of data systems — idempotent pipelines, boring reliable orchestration, and services that fail loudly instead of silently.

1. Data Engineer · DSP Investment Managers

   07/2025 – Present · Mumbai
   • ▸Architected and shipped an AI-powered ESG scoring platform (LLMs, RAG, vector embeddings, Tavily web search, Gemini Search Grounding) on Kubernetes-deployed FastAPI microservices, automating ESG evaluation for 2,000+ listed companies and cutting manual analyst effort.
   • ▸Built and now run the company's Apache Airflow orchestration platform from the ground up to production — designed the deployment, DAG conventions, and monitoring, and led a major-version upgrade in production. It orchestrates 100+ scheduled jobs across ingestion, ESG scoring, and analytics.
   • ▸Built large-scale ingestion pipelines (Python, Airflow, AWS S3) that scraped and processed 2,300+ ESG PDFs, XBRL filings, and annual reports across multiple financial years, with idempotent processing and 99% pipeline reliability.
   • ▸Designed and deployed a Typesense-based search engine — from schema design to containerized deployment as pods in the production Kubernetes cluster — powering fast, typo-tolerant search over companies (comps), portfolios, and financial metrics.
   • ▸Designed PostgreSQL schemas, audit tables, and materialized views powering a real-time market dashboard (1-day to 10-year historical charting) and portfolio analytics across corporate actions, arbitrage funds, and index comparisons.
   • ▸Engineered REST APIs and backend workflows for ESG score generation, analyst review, and version-controlled publishing, implementing a Generated → In Review → Finalized workflow with full audit history.
   • ▸Debugged and hardened production Kubernetes services — root-caused a dependency-conflict outage traced to a stale Dockerfile pin and recovered via kubectl rollout undo — then rewrote the Capitaline ingestion pipeline to eliminate silent failures, corrupt files, and unsafe uploads.
   • ▸Automated Snowflake permission auditing and redesigned ACL query generation for dynamic, enterprise-grade data access isolation.

2. Co-Founder & CTO · Kevora Global Pvt. Ltd.

   02/2024 – 05/2025 · Delhi
   • ▸Co-founded a D2C brand for 5 premium Kashmiri products, driving market-entry strategy with a target of 10% category share.
   • ▸Built an NLP sentiment-analysis system over 10,000+ product reviews using NLTK and scikit-learn to guide product and messaging decisions.
   • ▸Led technical strategy for Amazon and Flipkart marketplace integration to support expansion.

3. Data Analyst Intern · Redemp Technologies Pvt. Ltd.

   05/2024 – 07/2024 · Pune, India
   • ▸Designed an ETL pipeline (SQL, Python, Airflow) that improved ESG data integration and cut data latency by 26%.
   • ▸Built automated data-validation and reconciliation checks across pipeline runs, catching schema drift and missing values before they reached client-facing dashboards.
   • ▸Built a real-time KPI dashboard in Tableau that improved sustainability tracking and helped clients cut carbon footprints by 19%.
   • ▸Ran data wrangling and lifecycle analysis (LCA) with Pandas and NumPy, driving a 15% reduction in client resource use.

Open to AI/data engineering roles and interesting problems. Fastest way to reach me is email — the form below works too.