Hi, I'm Harsh Wasnik - Head of AI/ML at Voicera AI
I am passionate about building AI systems that think and scale. I thrive in cross-functional teams where I can bridge the gap between engineering rigor and business strategy to drive meaningful change.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Developed high-impact predictive models at Tata Communications, delivering over $100K in measurable gains.
Currently leads AI and ML development initiatives, bridging complex cloud-ready systems with strategic product growth.
Possesses deep expertise in LLM deployment and can assist teams in scaling data-intensive AI architectures.
🚀 Career trajectory
Academic Foundation
Mastered Machine Learning concepts while conducting advanced research and teaching at University of Arizona.
✦ 4.0 GPA
✦ Researcher
Industry Implementation
Applied ML and data engineering at scale to drive network traffic and reduce churn for enterprise partners.
✦ Data Engineering
✦ ML Ops
AI Strategic Leadership
Steering AI and ML initiatives as a Head of AI/ML to define product-led technological transformation.
✦ Leadership
✦ AI Strategy
💪🏻 Superpowers
Architect of Scalable AI
Engineering robust systems that perform at scale
✦ Deployed high-accuracy ML models in healthcare and edtech environments.
✦ Engineered real-time data pipelines using PySpark and Airflow infrastructure.
✦ Maintained 99.9% pattern detection accuracy across diverse datasets.
Business Value Translator
Converting technical insights into executive-level strategy
✦ Delivered $100K+ in gains through optimized network traffic analysis.
✦ Built executive dashboards in Power BI to drive organizational decisions.
✦ Aligned technical development milestones with quarterly business goals.
Cross-Functional Leader
Harmonizing engineering, QA, and business stakeholders
✦ Managed JIRA release cycles across diverse development squads.
✦ Enforced SDLC readiness criteria to streamline deployment timelines.
✦ Mentored team members through complex data integration project phases.
I'm excited about
✦ Exploring cutting-edge AI breakthroughs within specialized collaborative industry communities.
✦ Connecting with founders building the next generation of scalable data infrastructures.
✦ Discovering mentorship opportunities to share my experience in cross-functional technical leadership.
I can help with
✦ Providing technical audits for RAG-based LLM application workflows.
✦ Facilitating discussions on transitioning from mechanical engineering to data science.
✦ Guiding teams on integrating predictive modeling into existing business operations.
I would love your help on
✦ Navigating the transition from hands-on engineering to senior technical leadership.
✦ Identifying niche opportunities for applying multimodal AI in emerging markets.
✦ Connecting with experts in data ethics and responsible AI governance frameworks.