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Schedule Interview NowBeing part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.
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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