AI/ML and data engineering professional with enterprise and startup experience designing and delivering scalable microservices and real-time systems using Go, Python, and modern AI agentic frameworks. Focused on governance, compliance, and privacy while building evaluation, drift detection, and secure deployment pipelines across multiple regulated domains. Led architecture and implementation of complex GenAI agent platforms, investigative agentic systems over large entity graphs, and production-grade monitoring/data pipelines for finance, FMCG, healthcare, infrastructure, and ecommerce. Proven track record of fine-tuning, orchestration, and measurable improvements through rigorous evaluation frameworks.

Rupak Kumar

Pro

AI/ML and data engineering professional with enterprise and startup experience designing and delivering scalable microservices and real-time systems using Go, Python, and modern AI agentic frameworks. Focused on governance, compliance, and privacy while building evaluation, drift detection, and secure deployment pipelines across multiple regulated domains. Led architecture and implementation of complex GenAI agent platforms, investigative agentic systems over large entity graphs, and production-grade monitoring/data pipelines for finance, FMCG, healthcare, infrastructure, and ecommerce. Proven track record of fine-tuning, orchestration, and measurable improvements through rigorous evaluation frameworks.

Available to hire

AI/ML and data engineering professional with enterprise and startup experience designing and delivering scalable microservices and real-time systems using Go, Python, and modern AI agentic frameworks. Focused on governance, compliance, and privacy while building evaluation, drift detection, and secure deployment pipelines across multiple regulated domains.

Led architecture and implementation of complex GenAI agent platforms, investigative agentic systems over large entity graphs, and production-grade monitoring/data pipelines for finance, FMCG, healthcare, infrastructure, and ecommerce. Proven track record of fine-tuning, orchestration, and measurable improvements through rigorous evaluation frameworks.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

GenAI Principal Engineer / Solution Architect at Turing
September 1, 2022 - Present
Built a multi-layered investigative agentic platform on a proprietary graph of 10B+ entities/relationships to support government investigations into smuggling, money laundering, and forced labour. Architected a multi-stage Golden Dataset pipeline using Claude Skills to synthesize high-quality golden rows and enforced curation via TL;DR-style constraints, quality gates, and rubric-based metrics. Integrated an Analyst agent using MCP with a customer graph DB and built regression testing on real customer queries plus the golden dataset to validate tradecraft. Developed an Evaluation agent and LLM regression evaluation framework inspired by ELM, including inline critique for structured feedback loops. Fine-tuned multiple LLMs (e.g., OLMo, Qwen, Phi) using LoRA on curated training/evaluation splits, leveraging parallel A100 40GB GPUs. Also created an enterprise Agent Fabric platform with persona/prompt versioning, KB management, sub-agent integration via MCP/REST, DAG workflows, guardrails/
Developer / Lead Engineer / AI Solutions Architect at Turing
September 1, 2022 - November 5, 2025
Led the architecture and delivery of a real-time monitoring platform to detect data pipeline failures and improve forecasting accuracy, reducing pipeline failures to 30-40%. Built end-to-end data orchestration from multiple sources to Azure Data Lake (Bronze, Silver, Gold) using Azure Data Factory and Databricks; engineered cleansing and feature engineering; implemented regression models (CatBoost, XGBoost, LightGBM) in Databricks notebooks for forecasting and outlier detection. Spearheaded the development of a HIPAA-compliant B2B e-commerce platform with high concurrency, delivering improvements in engagement, churn prediction, visual search, and inventory forecasting.
AI Solutions Architect at Turing
September 1, 2022 - Present
Architected a monitoring platform for an FMCG client to detect data pipeline failures and enable accurate forecasting, reducing pipeline failures to 30-40%. Leveraged Azure Data Factory and Databricks for data orchestration from multiple sources to Azure Data Lake with Bronze, Silver, Gold layers, including cleansing and engineering. Implemented regressor models (CatBoost, XGBoost, LightGBM) in Databricks notebooks for forecasting and outlier detection. Led architecture and implementation of a HIPAA-compliant B2B e-commerce platform for a major healthcare provider, optimizing system performance for high concurrency traffic resulting in a 20% increase in user engagement with churn prediction, visual search and outlier detection and 15% increase in conversion rates using recommendations and inventory forecasting within the first quarter across Korea, Malaysia, and Indonesia. Real-time Meeting Agent and R&D initiatives including real-time speech-to-text via Whisper, LLM-powered insight ge
Engineering Manager at Rainpay India Pvt. Ltd.
July 31, 2022 - July 31, 2022
Led the development of a scalable Early Wage Access (EWA) platform using Golang microservices on AWS, leveraging DynamoDB for high-read workloads and Kafka for event streaming, resulting in a 30% reduction in latency and handling 10K+ daily transactions. Managed third-party integrations for credit checks and payments; applied NLP techniques (classification, NER, sentiment) for risk detection in user SMS messages; implemented fraud detection and real-time risk behavior analysis.
Engineering Manager at Rainpay India Pvt. Ltd.
July 1, 2022 - October 19, 2025
Built and managed the Early Wage Access (EWA) platform, designing scalable Golang microservices with Docker and Kubernetes. Integrated PostgreSQL for transactional data and DynamoDB for high-read operations. Managed third-party integrations for credit checks (Bureau) and payments (PayU/Cashfree). Achieved 10K+ daily transactions and 30% latency reduction through Kubernetes optimization. Applied NLP techniques (OpenNLP, spaCy) on user SMS for risk detection and real-time risk behavior analysis.
Head of Engineering at Rainpay India Pvt. Ltd
December 1, 2021 - August 31, 2022
Led engineering for an Early Wage Access (EWA) platform enabling blue-collar workers to access money before salary day for emergencies. Implemented integrations with credit scoring using CIBIL and NBFC co-lending model. Used mobile SMS data scraping to establish credit history before disbursing via payment gateways such as PayU and Cashfree. Achieved 10K loan disbursements in a single day and delivered scalable backend services and integrations for credit and payments.
Founder at Sports eCommerce Venture (Self Employed)
January 1, 2018 - December 31, 2021
Built and launched a hyperlocal multi-brand sports ecommerce platform from 0 to 1, offering inventory across categories with free delivery within a 5KM radius. Grew from 0 to 50+ orders/day in 6 months via localized marketing and operations optimization, sustaining the business for 3 years while managing technology, sourcing, logistics, and P&L. Wound down the venture in 2021 due to severe supply chain and demand disruptions related to COVID-19.
Vice President - Technology Infrastructure (Compute Engineering) at JP Morgan
January 1, 2016 - December 31, 2018
Led compute infrastructure automation using TOSCA specifications. Exposed backend APIs using Spring Boot to provision compute on a VMware stack, enabling repeatable and governed infrastructure provisioning workflows.
Vice President - Technology Infrastructure (Storage Engineering) at Goldman Sachs
January 1, 2010 - December 31, 2016
Led storage engineering automation as part of a private cloud solution. Built REST endpoints for storage provisioning and decommissioning used by the compute layer. Supported provisioning across file storage (NetApp), block storage (DMX, VMAX), and blob storage.

Education

B.E. at MS Ramaiah Institute of Technology, Bangalore
January 11, 2030 - October 19, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Retail, Professional Services, Other, Financial Services, Consumer Goods, Government
    Real Time Meeting Agent

    Engineered a real-time agent that actively assists users during live meetings by capturing, analyzing, and augmenting interactions with actionable insights. Real-time speech-to-text transcription via Faster Whisper, LLM-powered insight generation for contextual augmentation, OCR-based screenshot parsing for visual cue extraction.
    Tech Stack: Python, Golang, Java, React, OpenAI APIs, Llama, Whisper, OpenCV