Key skills, tools and approaches I use in my work.
A sample of projects and outcomes I've delivered.
Developed and launched Deal Insight and Deduplication features within Freshworks CRM, actively utilized by over 1000 customers. These features achieved an impressive 80%+ positive feedback rate, significantly enhancing CRM utility and user satisfaction.
Spearheaded the development of a generative AI solution for Freshworks CRM, a strategic initiative central to Freshworks' 2023 roadmap. Collaborated closely with product teams to iterate on user experience and technical aspects, driving innovation in AI-powered customer engagement.
Built an AI engine for a US distributor to solve complex demand forecasting problems, leveraging XGBoost, Facebook Prophet, and ARIMA techniques. Led a team of data scientists to design and conceptualize AI systems that simplified ML workflows and built Noodle.ai's core prediction system product.
A timeline of where I've worked and what I've achieved.
Built and scaled the India-based ML engineering team from scratch, managing a 14-member cross-functional team across ML engineering, MLOps, and data science. Owned key initiatives for the Agentforce product, including RAG system and ML service management. Established robust engineering processes, fostering cross-geo collaboration and achieving 100% manager satisfaction; drove significant efficiency improvements, reducing required personnel by 66%.
Managed a 12-member team across 4 major ML projects for Freshworks CRM, covering ML system architecture, model building, and roadmap planning. Achieved 95%+ team member approval, demonstrating strong leadership in career development and project completion. Owned and delivered high-impact projects including generative AI for Freshworks CRM and features like churn prediction and deal insight, utilized by 1000+ customers with 80%+ positive feedback. Granted one patent and published one research paper.
Built an AI engine for a US distributor, solving demand forecasting problems using XGBoost, Facebook Prophet, and ARIMA techniques. Led a team of data scientists in designing and conceptualizing AI systems to simplify ML workflows, and conceptualized and built Noodle.ai's prediction system product.
Joined as part of the founding team, scaling the backend system and building an engineering team, mentoring over 20+ engineers. Scaled the tech stack to support 80+ clients tracking over 12 billion events monthly. Initiated and built the data science team, developing Sherpa, a real-time optimizer for notification delivery.
Responsible for building the Click Through Rate prediction model and engineering system for the Airpush Ad network.
Contributed to software development initiatives within the organization.
Suvrat Hiran is a highly accomplished Senior Engineering Manager and Architect with over 14 years of extensive experience in developing and scaling machine learning systems and models. He excels in leading cross-functional teams, managing projects from conception to deployment, and driving significant efficiency improvements across ML engineering, data science, MLOps, DevOps, and full-stack development.
Suvrat's approach centers on building robust, scalable AI solutions that deliver measurable business impact and foster innovation. He is adept at architecting complex ML systems, optimizing model inference, and managing large-scale services. He possesses a strong track record in people management, team building, and mentorship, consistently achieving high satisfaction ratings from team members.
He is a recognized innovator, holding patents and publishing research papers in the field. His work has directly influenced products used by thousands of customers, demonstrating a commitment to delivering high-quality, impactful, and data-driven solutions in dynamic technological environments.
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