NAVEEN MEENA

PERSONAL DATA

Education

Graduate, Major in Aerospace Engineering

Indian Institute of Technology Kanpur - 2018

CPI: 8.2/10 | Class XII: 90.20/100

PROFESSIONAL EXPERIENCE

Founding Engineer → Lead Full Stack Developer

LudoNaira Pvt. Ltd. (Acquired by VaiaClimate Pvt. Ltd.)

Aug, 2024 - Present•Bangalore, India (Remote)

Responsibilities/Achievements:

  • •Built an inhouse user analytics and complaints resolution dashboard using NextJS14, TailWindCSS, PostgresSQL, MongoDB and NextAuth to improve complaint resolution efficiency by 80%.
  • •Built an Agentic AI system using Google-ADK and FastAPI Python to auto-resolve recurring user issues, escalating only critical ones to human support.
  • •Built an open-source LLM Models training infrastructure using AWS Fargate, HuggingFace, Next.js 14, Drizzle ORM.
  • •Processed and trained 50,000+ business documents into structured formats and trained custom adaptor models.
  • •Designed an AI-powered presentation and reporting tool backend that reduced BRSR reporting man-hours by 60% using FastAPI Python, MongoDB, AWS, Kafka with Event Driven Architecture.
  • •Led and mentored a team of 3 frontend and backend developers, ensuring feature delivery within timelines, collaborated with CTO on product & architecture decisions.

Full Stack Developer

Mainsscore Pvt. Ltd.

Sept, 2022 - July, 2024•Bangalore, India (Remote)

Responsibilities/Achievements:

  • •Worked on Ed-Tech platform as SaaS that connects Mentors with Students, Implemented Multiple Features using Nextjs13, React, Tailwind CSS, PostgreSQL, Prisma ORM, Drizzle ORM. Server-side Rendered Frontend using Libraries such as Shadcn, Tailwind UI, Redix.
  • •Implemented Core Backend Features using Nodejs, Typescript, NestJs Framework, Utilised Microservice architecture to improve maintainability and deployment process with containerised environment in AWS EKS.
  • •Collaborated with DevOps teams to implement Infrastructure as code (IAC), resulting in a 30% reduction in infrastructure costs and a 20% increase in system reliability.

Full Stack Developer | Co-Founder

Battlewits Pvt. Ltd.

Sept, 2020 - Sept, 2022•Bangalore, India

Responsibilities/Achievements:

  • •Worked on an ed-tech startup, that had over 10,000 students practice more than 2.5 million questions.
  • •Managed Frontend using Nextjs, React, Tailwind CSS, shadcn UI Library.
  • •Managed Backend using NestJs, ExpressJs with PostgreSQL Database and Drizzle ORM along with Trpc and React Query Integration with Frontend.
  • •Optimized the server cost by 30% with optimised server calls and redis caching implementation.
  • •Implemented a fully automatic CI/CD pipeline using Jenkins, SonarQube, Trivy Scanner, Docker, Kubernetes and AWS reducing deployment time by 40% and increasing deployment frequency by 60 percent.

Software Engineer

Honeywell Technology Solutions

July, 2018 - July, 2020•Bangalore, India

Responsibilities/Achievements:

  • •Working on Aircraft Cockpit Display & Graphics using C/C++11, Python, Machine Learning, OpenCV, OpenGL.
  • •Worked on Java8, SpringBoot Framework with Lombok, MockMVC For Unit and Integration Testing.
  • •Worked on RESTFUL API using Nodejs, AWS, S3, RDS, Elastic Search.
  • •Developed a real time Sensor Fusion Algorithm with object detection using Data of LIDAR and RADAR.
  • •Ownership of Different POC in the field of In Air Navigation and Flight Simulation on CA4 and APEX Bench.
  • •Developed CommonAPI Based Framework to Cyclic Database Updation with CORE INAV.

TECHNICAL SKILLS

Programming Languages:

JavaScriptTypescriptCC++PythonFastAPI

Web Development:

ReactNEXTJS14TailWindCSSNodeJSApollo GraphQLPostgreSQLMongoDBMySQL

Technologies:

AWSFIREBASEDockerGITCI/CD Pipeline

Database:

SQLMySQLPostgreSQLPrismaORMDrizzleORM

DevOps:

AWSDockerKubernetesJenkinsGit ActionsAWS Fargate

AI:

HuggingfaceOpen Source LLM Model TrainingLLM Model quantizationPrompt EngineeringAdaptor ModelLangchain
Download PDF Resume

Deep Dive

Deep Dive Canvas

IIT Kanpur Heritage

Strategic Context

Graduated from the Indian Institute of Technology Kanpur, specializing in Aerospace Engineering. This foundation built an elite level of mathematical and analytical discipline that transfers directly to complex system design.

Core Technologies
Advanced MathematicsFluid DynamicsSystem ControlC++ SystemsAnalytical Modeling

Class of 2018 Graduate

CPI: 8.2/10

Class XII: 90.20%

Self-taught Full Stack

Case Study

The rigorous IIT Kanpur environment fostered a 'first-principles' approach to software architecture. Complex aerospace simulations taught me to build systems that handle extreme edge cases gracefully.

Technical Deep-Dive

Transitioned to full-stack engineering by applying complex system-design principles learned in aerospace control systems to distributed web architectures.

Measurable Impact

Ranked among top engineering graduates in India. Successfully pivoted to lead engineering roles at multiple startups.

Deep Dive Canvas

Founding & Leadership Journey

Strategic Context

6+ years of full-cycle engineering leadership across 4 companies. Specialized in 'Zero-to-One' product development, from writing the first line of code to leading engineering teams and making CTO-level architecture decisions.

Core Technologies
Distributed SystemsMicroservicesTeam LeadershipEvent-Driven ArchitectureCI/CD Pipelines

3+ Startup Exits

10K+ Users Served

2.5M+ Sessions

80% Efficiency Gains

Case Study

At LudoNaira (acquired by VaiaClimate), led the entire technical transition through acquisition. Built an Agentic AI system that auto-resolves 80% of user complaints.

Technical Deep-Dive

Deep expertise in architecting multi-tenant SaaS platforms using the Next.js + FastAPI stack. Implemented Event-Driven Architecture with Kafka for real-time data consistency.

Measurable Impact

Scaled Battlewits to 10k+ active students. Reduced deployment time by 40%. Improved complaint resolution by 80% through AI automation.

Deep Dive Canvas

Modern AI-First Stack

Strategic Context

Cutting-edge expertise in Generative AI and Agentic workflows. Merging traditional full-stack engineering excellence with LLM-native application design. Pioneer in building production-ready AI systems.

Core Technologies
Next.js 14FastAPIGoogle ADKHuggingFaceKafkaLangChainAWS Fargate

50K+ Docs Processed

Custom Adaptor Models

LLM Fine-tuning

Production AI Systems

Case Study

Built an end-to-end LLM training infrastructure using AWS Fargate and HuggingFace. Processed 50,000+ business documents into structured formats.

Technical Deep-Dive

Mastery over the 'Next-Fast' stack (Next.js + FastAPI), optimized for rapid iteration and production-grade AI integration. Experience with LLM quantization techniques.

Measurable Impact

Achieved 80% automation in user complaint resolution. Reduced BRSR reporting man-hours by 60%. Trained models on 50,000+ business documents.

Full Picture

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