3X Founding Engineer | Building AI-Powered Products That Scale

I don't just build AI systems—I build products that ship fast, scale efficiently, and deliver measurable business impact. My approach: ruthless optimization, data-driven features, and zero tolerance for bloat.

• Built Financial AI Agent for a Stealth Startup helping raise $100k+ in funding.
• Built ETL Aggregation Pipeline of 100M+ Data Points while reducing cost by ~81% with read latency of P95 <200ms.
• Increase Insurance/Compliance Documents processing speed by 80%(5hr → 1hr) and >95% better classification.
• Built Customer Call Automation handling 30k+ calls/day with pickup-rate increase 25-40%(high variation due to external factors)

Current Project : Data Engineering & Visualization Project

• Building real-time analytics dashboard (Apache Superset-style) with LLM-powered query optimization
• Achieved P95 latency <200ms through lazy async caching and smart data sync
• Empowering stakeholders with self-service data insights across multiple databases

Previous Highlights:

• 🏗️ Founding Member @ Amalgamic.io: Built MVP AI Agent for Finance with multi-platform integrations (stealth mode)
• 💰 Cost Optimization at Scale: Slashed AWS costs by 40% and GCP costs by 80% at Ayu Health
• ⚡ Performance Engineering: Increased database performance by 10X, deployment speed by 2X
• 🤖 Automation Impact: Scaled customer support automation to reduce operational load by 50%+

As a Founding Engineer:

• 0→1 product development with MVP-first mindset
• Identify and eliminate bias-driven features; ship what moves metrics
• Bridge business requirements and technical execution
• Rapid prototyping with production-grade foundations

As an AI Engineer:

• LLM application development (LangChain, AI Agents)
• Smart cost/latency tradeoffs in production AI systems
• Multi-modal AI integration (OCR, Vision, NLP)
• Building feedback loops into AI products

As a Technical Leader:

• System architecture for scale and reliability
• Team leadership and technical mentorship
• Infrastructure optimization obsessive
• Data-driven decision making

AI/ML Stack:

• Frameworks: LangChain, AI Agents, OpenAI, Anthropic
• MLOps: Model optimization, cost management, monitoring

Backend & Infrastructure:

• Languages: Python, Java (Dropwizard, Guice DI)
• Cloud: AWS (Lambda, ELB, SQS, SNS, CloudWatch), GCP (Vision, OCR)
• Databases: PostgreSQL, MySQL, Redis, Elasticsearch
• Monitoring: New Relic, custom observability pipelines

Product Development:

• No-Code/Low-Code: Bubble.io, FlutterFlow
• API Design: RESTful, FastAPI patterns
• DevOps: Docker, CI/CD pipelines, distributed systems (Redisson)

1. Real-Time Analytics with LLM Query Builder Challenge: Internal teams needed self-service analytics without SQL expertise Solution: Built dashboard with LLM-powered query generation, multi-DB support, and intelligent caching Impact: Sub-200ms P95 latency, empowered non-technical stakeholders

2. Infrastructure Cost Optimization (Ayu Health) Challenge: Runaway cloud costs impacting margins Solution: Systematically analyzed resource utilization, re-architected GCP Vision/OCR usage, optimized AWS infrastructure Impact: $XXX,XXX annual savings (40% AWS, 80% GCP reduction)

3. Scaling Automation for Growth (Ayu Health) Challenge: Customer support couldn't scale with user growth Solution: Built intelligent automation pipelines with WhatsApp chatbot, IVR integration, and workflow optimization Impact: 50%+ reduction in operational load, 25% call pickup improvement

• Bias-Free Feature Development: I kill features that don't move metrics, regardless of who suggests them
• Speed + Quality: Shipped production systems in weeks, not months (revamped entire backend in 30 days)
• Full-Stack Capability: From LLM agents to infrastructure, no-code tools to distributed systems
• Technical Depth + Business Acumen: Every technical decision ties back to ROI and user impact
• Founding Engineer DNA: Comfortable with ambiguity and rapid iteration while pushing product/growth stakeholders to validate before over-building
• Optimization Mindset: Cost optimization is built into my architecture decisions from day one

• AI/ML opportunities where I can leverage LLMs, RAG, and AI Agents
• Founding engineer roles in early-stage startups building impactful products.

• 💪 Building real-time data analytics platforms powered by LLM query optimization
• 📚 Learning Agent Harness, Local LLM and Context Engineering

Building an AI-powered product? Need a founding engineer who ships fast and optimizes ruthlessly? Let's talk.

• 🌐 Portfolio: yatharthlakhera.in
• 💼 LinkedIn: yatharth-lakhera
• 📧 Email: yatharthlakhera75@gmail.com

"I don't build features. I build systems that solve problems, backed by data, shipped with speed."