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Schedule Interview NowWorking at Softaims has been an experience that continues to shape my perspective on what it means to build quality software. I’ve learned that technology alone doesn’t solve problems—understanding people, processes, and context is what truly drives innovation. Every project begins with a question: what value are we creating, and how can we make it lasting? This mindset has helped me develop systems that are both adaptable and reliable, designed to evolve as business needs change. I take a thoughtful approach to problem-solving. Instead of rushing toward quick fixes, I prioritize clarity, sustainability, and collaboration. Every decision in development carries long-term implications, and I strive to make those decisions with care and intention. This philosophy allows me to contribute to projects that are not only functional, but also aligned with the values and goals of the people who use them. Softaims has also given me the opportunity to work with diverse teams and clients, exposing me to different perspectives and problem domains. I’ve come to appreciate the balance between technical excellence and human-centered design. What drives me most is seeing our solutions empower businesses and individuals to operate more efficiently, make better decisions, and achieve meaningful outcomes. Every challenge here is a chance to learn something new—about technology, teamwork, or the way people interact with digital systems. As I continue to grow with Softaims, my focus remains on delivering solutions that are innovative, responsible, and enduring.
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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