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Schedule Interview NowAt Softaims, I have been fortunate to work in an environment that values creativity, precision, and long-term thinking. Each project presents a unique opportunity to transform abstract ideas into meaningful digital experiences that create real impact. I approach every challenge with curiosity and commitment, ensuring that every solution I design aligns not just with technical requirements, but also with human needs and business objectives. One of the most rewarding aspects of my journey here has been learning how to bridge the gap between innovation and practicality. I believe technology should simplify complexity, enhance efficiency, and empower people to do more with less friction. Whether building internal systems, optimizing workflows, or helping bring client visions to life, my focus remains on developing solutions that stand the test of time. Softaims has encouraged me to grow beyond coding—to think about design, communication, and sustainability in technology. I see every project as part of a larger ecosystem, where small details contribute to long-lasting results. My daily motivation comes from collaborating with people who share the same passion for doing meaningful work, and from seeing the tangible difference our efforts make for clients around the world. More than anything, I value the culture of learning and improvement that defines Softaims. It’s a place where ideas evolve through teamwork and constructive feedback. My goal is to continue refining my craft, exploring new approaches, and contributing to solutions that are not only efficient but also elegant in their simplicity.
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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