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Schedule Interview NowMy name is Kunjan V. and I have over 6 years years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Artificial Intelligence, Python, Natural Language Processing, etc.. I hold a degree in Master of Science (MS), Bachelor of Engineering (BEng), Master of Business Administration (MBA). Some of the notable projects I’ve worked on include: AI-Powered Media Intelligence Platform - Enterprise Solution, Personalizing Nutrition for Your Health & Fitness Journey with AI, A Copy writer chat assistant with intuitive sales pitch abilities, Empowering Aretolabs with AI-Powered Moderation and Real-Time Insights, Redefining Special Needs Education Through AI-Powered Personalization, etc.. I am based in Karlsruhe, Germany. I've successfully completed 21 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
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Led the technical vision and execution of a cutting-edge AI media intelligence platform from concept to $1.5M ARR. Team of 2 Data Engineers, 2 Full stack, 2 FE and 1 QA. Architected and scaled infrastructure to handle 100M+ daily events. Achieving 99.9% uptime. Managed cross-functional engineering teams through 3 critical phases: PoC validation, MVP development, and enterprise rollout. Implemented advanced ML/AI capabilities including multilingual sentiment analysis and predictive crisis detection. Drove 65% cost optimization through strategic technology decisions and DevOps practices.
Client: A healthcare brand aiming to deliver personalized wellness solutions. Business Challenge: Develop PoC that personalizes supplement recommendations, multilingual , user-friendly interaction with data privacy. Approach: Created an AI-powered app leveraging LLM integration, iterative design, collaborative development with subject matter experts. The app includes user profiling, personalized dosage recommendations, scientific rationales for supplement choices, WITH GDPR compliance. Results & Impact: 60% faster time-to-market 45% reduction in development cost 88% CSAT 2x market coverage
Greater Public partnered with TotemX Labs to develop an AI-powered copywriting assistant, addressing script management and personalization for various radio stations. After four iterations with LLMs (including GPT-4 and Claude 3), they successfully deployed an MVP on AWS. This solution features customizable inputs, creativity controls, and SME feedback integration, transforming static fundraising scripts into dynamic content. Key improvements included tailored AI implementations, boosting SME ratings from 2.5/5 to 4.5/5, and streamlining deployment via an AWS CI/CD pipeline, with optimal costs
Our solution integrated advanced NLP models and machine learning to accurately detect and categorize abusive content, while real-time data pipelines and scalable cloud infrastructure ensured optimal performance even under high traffic. The data-centric approach helped quantify the community health, enabling Aretolabs to track and report on the effectiveness of their moderation efforts. Please go through the case study link for detailed technical solutions approach and capabilities.
TutTikTok* partnered with TotemX Labs in order to revolutionize the special needs education through an AI-powered personalized learning platform, developing an intelligent recommendation engine that dynamically adapts to individual children’s learning styles, particularly for those with ADHD and dyslexia.
Master of Science (MS) in Computational Mechanics
2012-01-01-2016-01-01
Bachelor of Engineering (BEng) in Computer engineering
2001-01-01-2005-01-01
Master of Business Administration (MBA) in Marketing
2006-01-01-2008-01-01