About Me
I'm Sushant Shambharkar, an AI Architect and Tech Lead with 10+ years building production AI systems across finance, adtech, analytics, and cloud platforms.
Currently at Angel One, I lead AI engineering building agentic platforms and ML infrastructure that process millions of decisions daily. Previously I built real-time ad optimization at Amagi, B2B intent intelligence at Slintel, experimentation infrastructure at Google Cloud, and NLP platforms at Goldman Sachs.
I specialize in GenAI, agentic AI, LLM infrastructure, and scalable ML platforms. My focus is bridging the gap between AI research and production — building systems that work reliably at scale, with proper monitoring, testing, and fallback mechanisms.
When I'm not building AI systems, you'll find me working on homelab projects, contributing to open source, and exploring new AI architectures.
Technical Skills
Core technologies across the AI/ML stack.
AI/ML
Languages
Frameworks
Infrastructure
Data
Tools
Career
Professional experience and growth.
Tech Lead — AI Labs
Angel OneJan 2024 - Jan 2026Architected and deployed multi-agent wealth management platform for autonomous customer servicing, portfolio intelligence, and investment advisory.
- • Built planner-executor-reviewer agents with persistent memory, real-time market data retrieval, and ML-driven risk profiling
- • Autonomously resolved customer queries, generated portfolio rebalancing strategies, and recommended personalized investment actions
- • Improved engagement by 35% and increased portfolio diversification
- • Reduced advisor response latency by 60%
Tech Lead — AdTech
AmagiMay 2023 - Jan 2024Upgraded real-time ad delivery systems using edge ML models and autonomous optimization pipelines.
- • Improved CTR by 30% through dynamic ad inventory optimization
- • Increased viewer retention by 20% via low-latency personalization
- • Built autonomous optimization pipelines on PyTorch, Kubernetes, Snowflake, and Delta Lake
Lead Software Engineer — DataViz
SlintelOct 2021 - Mar 2023Architected NLP2SQL platform using fine-tuned LLMs to automate dashboard query generation.
- • Improved dashboard creation efficiency by 200%
- • Reduced dashboard load times by 3x through automated aggregation framework
- • Led design of automated aggregation framework that optimized query execution
Senior Software Engineer — Google Cloud
GoogleDec 2019 - Sep 2021Designed self-healing experimentation infrastructure and scalable user analytics pipelines within Google Cloud.
- • Embedded ML-based flag conflict detection and rollback prediction in Mendel experimentation tool
- • Reduced code-induced failures by 25% and minimized hotfix cycles
- • Built scalable user analytics pipelines and automated A/B test orchestration
- • Achieved 7% boost in long-term retention and 10% in short-term engagement via behavioral clustering
Senior Software Engineer — Client Experience
Goldman SachsAug 2018 - Dec 2019Architected real-time NLP platform for extracting behavioral signals from client communications.
- • Built real-time NLP platform using Apache Flink and transformer models
- • Created multi-task ranking models for urgency, sentiment, and response prioritization
- • Deployed retrainable APIs with automated evaluation pipelines for continuous model optimization
- • Reduced response latency and improved service consistency
Software Engineer — Location Products
Persistent SystemsJul 2013 - Aug 2018Built ML-driven workforce optimization systems for route planning and task duration prediction.
- • Improved field productivity and reduced operational downtime through ML-driven optimization
- • Led migration of training and inference pipelines from SAS to PySpark
- • Delivered 10x reduction in processing latency while eliminating licensing costs
Want to work together?
I'm always open to discussing new projects and opportunities.