Karthik Balaji

AI Researcher

Chennai, Tamil Nadu, India2 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • Led the development of an AI video generation platform.
  • Expert in AI models for sustainability and supply chain.
  • Strong background in machine learning and product development.
Stackforce AI infers this person is a SaaS expert specializing in AI-driven sustainability solutions.

Contact

Skills

Core Skills

Ai DevelopmentProduct DevelopmentSustainability SolutionsMachine Learning

Other Skills

AI AgentsANSYSAgentic AI DevelopmentApplication Programming Interfaces (API)ArduinoArtificial Intelligence (AI)AutoCADAzure DevOps ServicesAzure MLCanvaCarbonGPTClaudeCollaborative Problem SolvingCommunicationCreative Writing

About

πŸ‘‹ Hey, I'm Karthik β€” I lead the AI team at ASYNK in Mumbai, where we built ReelReports.ai We're orchestrating multiple AI models to generate professional videos at scale β€” combining presenter models, visual generation, data visualization, and voice synthesis into one cohesive platform. Making different AI systems work together seamlessly, from concept to final render. 🎯 Here's the thing about AI everyone's hyping but not saying: It's not magic. Every morning starts with the same question: "How do I get the perfect prompt to give me exactly what I need?" AI makes our jobs easier, sure β€” but only if YOU know what to instruct it to do. That's where the real work is. πŸš€ The journey: Started with driver drowsiness detection at Motherson Technology Services β€” building ML models with Python and OpenCV that could literally save lives by alerting drivers. Did my Master's in Industry 4.0 at SRH Berlin and published research with Springer on predictive health models. Learned that AI isn't about fancy algorithms β€” it's about picking the RIGHT features and making models work for real problems. At CarbonCompete, spent over a year building GenAI for supply chain sustainability. Fine-tuned CarbonGPT to automate emissions reporting, identify carbon hotspots, and build decarbonization roadmaps. Built RAG frameworks that turned complex ESG regulations into actionable insights. The lesson? Making AI useful isn't just technical β€” it's about understanding the domain deeply enough to ask the right questions. Now at ASYNK, I'm applying all of that β€” computer vision, NLP, multi-modal AI β€” to build an AI platform from scratch. Leading a team, architecting systems, and figuring out how to make enterprise-grade AI products that don't just demo well, but actually ship and scale. πŸ› οΈ Stack: Python/FastAPI, React, FFmpeg, LangChain, Azure ML, Vector DBs, LLMs, RAG frameworks β€” full-stack from backend to AI integration. πŸ’‘ What I care about: Building at the intersection of AI, sustainability, and automation. Shipping products that solve actual problems. The journey from "it works on my laptop" to "it works for 1000 users." ⚽🏏 Outside work: Football and cricket fan (can't miss a match) 🀝 Let's connect if you're: - Building in the GenAI space - Working on climate tech or sustainability solutions - Want to talk about what's *actually* working in production AI - Just want real conversations about shipping products, not LinkedIn fluff Hit me up. Always down to talk about the reality behind the hype.

Experience

2 yrs
Total Experience
1 yr
Average Tenure
11 mos
Current Experience

Asynk

Lead AI Engineer

Jul 2025 – Present Β· 11 mos Β· Mumbai, Maharashtra, India Β· On-site

  • Leading the AI engineering team at ASYNK, specializing in enterprise AI solutions and product development.
  • 🎯 Key Achievement:
  • Built ReelReports.ai from concept to production β€” an AI video generation platform orchestrating multiple generative models for automated content creation at scale
  • πŸ—οΈ Technical Leadership:
  • Architected multi-model AI pipeline integrating presenter generation, visual synthesis, data visualization, and voice cloning
  • Developed full-stack platform: Python/FastAPI backend, React video editor with real-time rendering, FFmpeg video processing
  • Integrated multiple AI APIs (Google generative models, voice synthesis, image generation) with Azure cloud infrastructure
  • Created automated brand asset management system with AI-powered template application
  • πŸš€ Product Development:
  • Led AI team through complete product lifecycle: ideation β†’ prototyping β†’ production β†’ optimization
  • Implemented vision-based systems for intelligent text positioning and overlay placement
  • Built database-driven preset systems and comprehensive scene data architecture
  • Optimized AI token usage by 40-50% through intelligent prompt engineering
  • βš™οΈ Engineering Solutions:
  • Resolved performance bottlenecks for 60fps video rendering
  • Developed content moderation and prompt sanitization for AI policy compliance
  • Engineered audio-visual synchronization and video transition systems
  • Managed technical migrations across AI model architectures
  • πŸ› οΈ Tech Stack: Python, FastAPI, React, FFmpeg, LangChain, Azure ML, GPT-4, Claude, RAG, Vector DBs, PostgreSQL
PythonFastAPIReactFFmpegLangChainAzure ML+7

Mycorr

Head of Product Development

Apr 2025 – Jun 2025 Β· 2 mos Β· Paris, Île-de-France, France Β· Remote

  • Led product development at Mycorr, focusing on building AI agents for supply chain optimization and sustainability.
  • Spearheaded the creation of an Automated Corporate Sustainability product to track emissions and enhance environmental impact.
  • Collaborated with cross-functional teams to drive technological advancements and product vision for customers.
Product Development

Carboncompete

2 roles

AI/ML Engineer

Jun 2024 – Mar 2025 Β· 9 mos Β· On-site

  • Building Generative AI Solution for Supply Chain Sustainability.
  • Developed an advanced Retrieval-Augmented Generation (RAG) framework tailored to corporate
  • sustainability needs, optimizing data-driven decision-making for sustainability initiatives.
  • Finetuned CarbonGPT for Decarbonisation:
  • Automated value chain mapping of a product
  • Automated Corporate GHG Reporting
  • Analyses Emission Hotspots
  • Tailored Recommendations and prediction algorithms making a way for Decarbonisation Roadmaps
  • Automated Enterprise Sustainability Reporting
  • Web Design using Figma
  • Vector Databases
  • ML DevOps using Microsoft Azure
RAGCarbonGPTMicrosoft AzureAI DevelopmentSustainability Solutions

Junior AI Engineer

Feb 2024 – Jun 2024 Β· 4 mos Β· On-site

  • Building Generative AI Solution for Supply Chain Sustainability.
  • Developed an advanced Retrieval-Augmented Generation (RAG) framework tailored to corporate
  • sustainability needs, optimizing data-driven decision-making for sustainability initiatives.
  • Finetuned CarbonGPT for Decarbonisation:
  • Automated value chain mapping of a product
  • Automated Corporate GHG Reporting
  • Analyses Emission Hotspots
  • Tailored Recommendations and prediction algorithms making a way for Decarbonisation Roadmaps
RAGCarbonGPTMicrosoft AzureAI DevelopmentSustainability Solutions

Motherson technology services

Project Intern

Mar 2023 – Jul 2023 Β· 4 mos Β· Chennai, Tamil Nadu, India Β· On-site

  • During my tenure as a project intern in Mothersons Technology Services Ltd I worked on a Driver Drowsiness Project wherein we built a ML model which alerts the driver whenever he is yawning, distracted or whenever any abnormal behavior by the driver is noticed.
  • Python and OpenCV
  • Automated alarm during any abnormal movement by the driver to avoid accidents
PythonOpenCVMachine Learning

Sona comstar

Intern

Dec 2019 – Jan 2020 Β· 1 mo

Education

SRH Berlin University of Applied Sciences

Master's degree β€” Industry 4.0

Sep 2021 – Sep 2023

SRM IST Chennai

Bachelor's degree

Jan 2017 – Jan 2021

National High School (Boys)

Higher Secondary Education

Jan 2015 – Jan 2017

National High School (Boys)

Secondary Education

Jan 2015 – Present

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