Profile	Type	Focus
	Personal Account	Personal projects, ML, AI, Learning
	Professional Account	Corporate work
	Organization	Kineti AI Platform, collaborative work

Senior Software Engineer & Architect with 8+ years of experience designing distributed platforms, payment systems, and generative AI architectures. I don't just build isolated solutions—I architect for extensibility and 100X scale by identifying patterns and developing optimized, reusable components.

Philosophy: Build systems that scale, maintain, and evolve. Transform fragmented services into unified, plugin-based platforms. Enable teams to move faster by reducing friction.

Impact: Transformed legacy payment infrastructure into modern microservices • Reduced feature launch effort by 50% • Mentored 12+ engineers across 6 cross-functional teams • Architected production-grade AI pipelines at scale

Feb 2019 - Jul 2024 | 5.5 Years

• Challenge: Fragmented service with ambiguous ownership, cross-team dependencies, and poor visibility
• Solution: Architected a unified, multi-tenant, plugin-based platform with clear ownership boundaries
• Impact:
  • ✅ 50% reduction in new feature launch effort
  • ✅ 7% increase in Conversion Rate (Scan-&-Pay)
  • ✅ 1.8% reduction in user aborts (Send Money)
  • ✅ 7.28% increase in ASR (Send Money)
  • ✅ 100% visibility into customer journey with BI insights
  • ✅P90 Latency Reduction:
    • Android: 5s → 540ms ( 90% improvement)
    • iOS: 85% improvement

• Migrated high-volume monolithic services to AWS-hosted microservices

• Designed storage-agnostic caching framework (Decorator pattern) with L1/L2 levels

• Built automated, pluggable update strategies for cache invalidation

• Optimized authentication and access-control paths

• Streamlined backend, mobile (Android/iOS), and frontend layers

• Led 6 cross-functional teams with 12+ engineers
• Eliminated ownership gaps and cross-team dependencies
• Mentored engineers on system design, distributed systems, and platform thinking
• Improved collaboration across 100+ stakeholders

• Architected safe, Full Continuous Deployment (CD) pipelines for distributed services
• Designed data-driven auto-scaling strategy for peak traffic (IPL, Prime Day, Diwali)
• Result: Eliminated manual dependency calculations, saved days of engineering effort
• Templatized scaling strategy for org-wide adoption

• Standardized service monitoring metrics across platform
• Pioneered auto-dashboarding solutions reducing on-call triage time by 60%+
• Revamped testing infrastructure for parallel, independent testing
• Removed major developer bottlenecks in QA workflows

• Implemented high-security storage for iOS with advanced data protection
• Authored and presented multi-year technical strategy to org leadership
• Served as POC for regulatory audits and compliance
• Automated stress testing and CI/CD security pipelines

2024 - Present | AI Platform Startup

Next-Gen Text-to-Video Platform with Autonomous Intelligence

• Architecture: Cloud-native, queue-driven microservices for compute-intensive ML workloads
• Security: End-to-end encrypted P2P communication using Signal Protocol

• Designed agentic pipeline performing live internet search for topics
• Synthesizes information from multiple external documents
• Generates structured, long-form scripts for video generation
• Innovation: Multi-hop reasoning with fact verification

• Text LLMs: LLaMA, Qwen with proprietary prompt-engineering
• Visual Generation: Stable Diffusion + LoRA fine-tuning
• Neural Audio: Kokoro, Coqui TTS integration
• Result: Unified multimedia pipeline for story-driven automation

• Designed auto-scaling microservices for peak video generation loads
• Implemented queue-driven job orchestration
• P2P encryption for user data privacy and trust

Mar 2017 - Aug 2018 | IoT & Embedded Systems

• Semi-supervised learning for AC remote training
• Achievement: 62.5% faster model convergence, 87.5% less training data required

• Architected secure Over-The-Air (OTA) firmware update system
• Managed 1,000+ device fleet with 99.99% update reliability
• Centralized rollout control with automated rollback

• Implemented interpolation-based recovery for missing energy telemetry
• Multi-resolution data retention strategy (per-second → per-minute → per-hour)
• Result: Improved analytics accuracy, prevented browser crashes on large queries

• Led 3-person engineering team
• Designed & shipped embedded IoT products (Polar, IRStone) on FreeRTOS
• Achievement: 50% data compression, modular firmware reuse, 99.99% availability

• System Design & Architecture
• Microservices & Service-Oriented Architecture
• Distributed Caching & Storage Abstraction
• Observability, Monitoring & Alerting
• Performance Optimization & Scalability
• Authentication, Authorization & Access Control
• API Design & Documentation
• Database Design (SQL, NoSQL)

• Agentic Workflows & Autonomous Reasoning
• Multi-modal LLM Orchestration (LLaMA, Qwen, ChatGPT)
• Retrieval-Augmented Generation (RAG)
• Diffusion Models & Image Generation (Stable Diffusion)
• Prompt Engineering & Fine-tuning
• Time-Series Data Processing & Forecasting
• ML Pipeline Design & Deployment

• AWS (EC2, S3, SQS, Lambda, API Gateway, CloudFormation)
• Docker & Container Orchestration
• CI/CD Pipelines & GitOps
• Infrastructure as Code
• Monitoring & Logging (CloudWatch, Datadog)
• Auto-scaling & Load Balancing

• Languages: C++, Java, Python, JavaScript/TypeScript, SQL
• Foundations: Data Structures, Algorithms, Operating Systems, DBMS, OOP
• Embedded: FreeRTOS, Firmware Development
• Protocols: Signal Protocol, gRPC, REST APIs
• Frameworks: React, Node.js, Django, Spring Boot
• AI/ML: TensorFlow, PyTorch, LLaMA, Stable Diffusion

Account: @pintu-lal • Focus: Corporate work & professional contributions

Account: @Meenapintu • Focus: Personal projects, AI research, and learning

Founder & Chief Architect
Production-grade generative AI platform combining agentic workflows, multi-modal LLM orchestration, and secure cloud infrastructure.
Explore Project

Author & Maintainer | 100+ downloads/week
Thread-safe credit reservation model with dual-write ledger system preventing LLM overcharging.
View Repository

Architect | Fault-Tolerant Gaming Architecture
Stateful, automated server-side state machine with autonomous robot logic ensuring 100% session continuity.
Explore Project

Bike-Sharing Systems Prediction | Spam Detection | Travel Cost Optimization
Applied ML models solving real-world problems with production-grade implementations.
See All Projects

Developer Productivity Tool | Published on VS Code Marketplace
Automates parsing, extraction, and clean separation of tightly coupled inline JavaScript from HTML files.

Performance Optimization | Microsoft Edge App Mode & Legacy IE Support
Optimized core desktop GUI library for modern and legacy rendering engines.

B.Tech in Computer Science & Engineering
Indian Institute of Technology (IIT) Bombay | Jul 2012 - Aug 2017

I'm always excited about:

• 🏗️ Architecting distributed systems at scale
• 🤖 Building generative AI products
• 👔 Leading high-performing engineering teams
• 💡 Discussing system design, architecture & tech strategy
• 🚀 Creating products that drive real business impact

Ready to collaborate?
📧 Email • 💼 LinkedIn • 🌐 Portfolio • 📄 Resume

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Building systems that scale. Architecting for impact. Leading the next generation of engineers. 🚀