Madhav Mishra

Co-Founder

Singapore, Singapore11 yrs 8 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Co-founded a leading AI Recruitment Coordinator startup.
  • Achieved 30% reduction in AWS expenditure through automation.
  • Expert in building scalable microservices and AI systems.
Stackforce AI infers this person is a SaaS expert with strong capabilities in AI, DevOps, and software architecture.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Product DevelopmentSoftware ArchitectureDevopsSoftware DevelopmentMachine LearningBig Data

Other Skills

AWSAWS CLIAmazon Web Services (AWS)Android DevelopmentAnsibleArchitectureAutoscalingCC++Co-creationDropwizardHadoopHiveIntegrationJava

About

As a firm believer in the power of startups, I started my exploration in 2013 when I interned at a startup, building news categorisation systems using big data and machine learning. I remember how thrilling it was to implement my first map-reduce using Hadoop. This early exposure to Big data, ML & python helped me in landing my first full time job at Commonfloor. As a platform Engineer at commonfloor, I built the prototype of a house recommendation system while honing my skills in Python, Django, microservices & AWS. Eager for more challenges, I joined another startup called Boomerang Commerce a year later as a DevOps Engineer. My first task was to optimise AWS expenditure and we achieved that by bringing a 30% drop in AWS bill using several automation and monitoring processes. We built several in house tools to build & deploy microservices at massive scale, tools to manage Security, Access Management, Intrusion Detection. This journey helped me extend my knowledge of Design Patterns, RoR, Java & Dropwizard, Openldap, Ansible, Docker, Jenkins, Hashicorp Vault, Terraform, AWS, and Kubernetes. But the pinnacle of my journey came when I found Evie, where I am currently working as a co-founder, in crafting the world's best AI Recruitment Coordinator. Evie has been an unending gift of challenges and rewards, from building NLP & NLG engines to integrating with platforms like Zoom, Successfactor, and condeco. At Evie, I'm deeply involved in the entire lifecycle, translating user requirements into product features, architecting components, coding, and deploying to production. This role has enriched my knowledge of Product Design, Software Design, Architecture, AI systems, and an array of technologies like Ruby on Rails, React & Redux, Python, Terraform, NLP, and Large language models. Beyond the technology part, Evie’s experience helped me develop the business acumen. It helped me truly understand the difference in engineering a tool vs building a product. I am so looking forward to all the magic Evie is going to bring to our customers. Beyond my professional pursuits, I indulge my curiosity in philosophy, psychology(my personal favourite is the Critique of Practical Reason by Emmanuel Kant), society, and politics. I invite you to my blog(iammadhav.com) where I spill some of my creative inks. So, whether you want to discuss AI, startups, tech challenges, philosophy or express your opinion on one of my blog posts, feel free to reach out to me. Let's connect and explore the infinite possibilities in the world of technology and beyond.

Experience

Evie.ai

2 roles

Co-Founder

Promoted

Sep 2023Present · 2 yrs 6 mos · Singapore

  • I am building the world's best AI Recruitment Coordinator with my brilliant team at Evie.
  • I'm deeply involved in the entire lifecycle, translating user requirements into product features, architecting components, coding, and deploying to production.

Lead Engineer

May 2017Sep 2023 · 6 yrs 4 mos · Singapore

  • As the Engineering Team Lead at Evie, I am driving product development & engineering to create the foremost AI Recruitment Coordinator in its class.
  • Noteworthy Contributions:
  • 1. NLP and workflow development
  • 2. Built meta flow engine to orchestrate complex workflows for managing the lifecycle of an interview(clarify, propose, confirm, reschedule, cancel etc.)
  • 3. Built the Natural Language Generation capability of Evie.
  • 4. Built integrations with third party systems viz. Successfactor, Condeco, Zoom etc.
  • 5. Architected secure and fault tolerant Infrastructure in AWS
  • 6. Implemented Infrastructure as a code using terraform.

Boomerang commerce

2 roles

Software Development Engineer

Apr 2015Apr 2017 · 2 yrs

  • At boomerang commerce, being a part of Infrastructure & Platform Team, I contributed in following projects
  • 1. Boomerang Secret Service to manage secrets and passwords to achieve secret/password free codebase. Worked on the client library part and set up/Design of project. Used java and Dropwizard to develop this application.
  • 2. User Authentication and authorization across ec2 servers using Opendlap and PAM.
  • 3. Automated Configuration management (like NTP setup and sync) using ansible
  • 4. Automated AWS resource tagging which helps in accounting expenditure across clients/components
  • 5. Automated Alarm set up and custom metric reporting across AWS Resources like ec2, RDS, Redshift. Used python and aws cli to write the automation.
  • 6. One click Deploy to manage build and deployment of application across multiple application servers. Used Ruby to write this application which is sort of wrapper over AWS Codedeploy. Currently used for deploying configuration as well.
  • 7. SFTP server redesign and restructuring which is used to get client feeds. Used java and dropwizard to build this application.

SDE2

Apr 2015Apr 2017 · 2 yrs

Commonfloor.com

Software Development Engineer

Jun 2014Mar 2015 · 9 mos · Bengaluru Area, India

  • Working as a software development engineer with Platform Team my responsibilities include
  • 1. Work on Big Data set up and query tools like Hive.
  • 2. Optimize Web Performance
  • 3. Write scripts to monitor servers performance
  • 4. Create Server Autoscaling architecture and program.

Mobipulse technologies

Software Developer Intern

Jun 2013Jul 2013 · 1 mo · Bengaluru Area, India

  • my project was document clustering of news articles. raw news articles were collected from different web sources and then using machine learning tools (Hadoop(for big data) and Mahout) it was categorized into groups like sports ,economics,political etc.

Education

NIT kurukshetra

Bachelor's Degree — Information and techonology

Jan 2010Jan 2014

Kendriya Vidyalaya

XII

Jan 2008Jan 2009

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