Koch Industries

Machine Learning, MLOps, NLP,  Predictive Analysis, Neural Networks, Operations Research, LLM. 
 
- Built Patented Prediction Service for Koch DnA which is an AutoML service use by Koch companies to create forecasting models and use for inferences for sales, inventory etc.

- Built a Production Site Optimisation service for Molex which created huge saving on production process $1M per year by scheduling optimisation by 8%

- Built Production Site Optimisation Service for GP Lumber effectively saving ~$2M by production scheduling process optimisation and saving a lot of on waste material, energy and reducing carbon footprints.

- Built a Feature Ranking service for KGS Analytics suite ranking mostly important feature in higher dimension feature space.

- Experiment/ POC with Generative AI.


- Architecture & Infrastructure Design

- Team Management and Mentoring

Senior Software Engineer (Machine Learning)

RealPort AG

FinTech, Digital Investment Platform.

Product, Backend Engineering, BlockChain.

Senior Software Engineer

RiskSense, Inc.

CyberSecurity Product.

Data Engineering, Backend development, Design and Develop Data Pipelines.
Delivered PluginKB Management System to ease biz-dev operations.

Stack: Python, Spark, Django, Cassandra, Docker. 

Focused building SRS Platform, read more here.

AutoGrid

Energy-Internet Product.

Platform / Data Engineering/ Machine Learning Forecasting 

Goal: Building scalable applications for Energy Data Platform in Python.

Responsibilities: Design, Code, Project & Team Management. 


- Connectors framework: An IoT connectivity  platform built in Python(Django) enables data ingestion and device control. IoT like Honeywell, Tesla, Rheem, Ecobee.

- Lead product integration/development for a large customer in Japan region for the on growing VPP solution.

- Data aggregations using Spark and visualisation via Grafana.
- Applications for protocols like SCADA, Modbus.
- Expertise in OpenADR(VEN & VTN) Python applications built from scratch.
- Virtual Power Plant (VPP) solution, depth knowledge in battery communication.
- Creating/Enhancing data ingestion pipelines.
- Data ingestion tools like NiFi to ingest data from large file to Hbase.

Stack:  Python, GoLang, Django, Flask, Hadoop, Kafka, Hbase, InfluxDB, SQL, Docker, Ansible, Kubernetes.

AutoGrid's suite of Energy Internet applications allows utilities, electricity retailers, renewable energy project developers and energy service providers to deliver cheap, clean and reliable energy by managing networked distributed energy resources (DERS) in real-time and at scale.

Software Engineer

Bitnomix

- Design & Developed web based product applications which is a suite of different services.
- Services include applications like News app which is largely is personalised news in 7 indian languages
- RESTFul APIs for mobile app and web app
- Integration with front-end web technologies like JavaScript, AngularJS.
- Initate proper deployment stargrey to deploy app on dev and production servers.
- Deployment on Amazon (AWS) servers, services like EBS, EC2, S3  and configuring other tools like Jenkins, Supervisor, Ngnix

GM Tech

- AfterBuy and AfterSell platform provided an easy platform to discover and avail services for brand products like home appliances, cars etc. and keeps the track of the products/services for brands like Philips, 3M etc.
-  Develop web-based python application for different projects,  used as services.

-  Back-end development using Django framework, MySQL.

- Developing RESTful API's using Tastypie and Django Restful Framework (DRF).

8+ years of experience leading, building and delivering AI-powered products from concept to market. I am an autodidact seasoned software engineer with expertise in AI, Machine Learning, MLOps, Backend Engineering, and Infrastructure Scaling.

In my previous role, I successfully delivered a patented machine learning forecasting solution leveraging cutting-edge technologies and few more AI optimisation solutions. I am passionate about building innovative products that leverage the power of AI to positively impact businesses and users.

Focus area: Product, AI, Machine Learning, MLOps, Backend Engineering, Scaling.

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