Manish Ukirade

Senior Software Engineer

Mumbai, Maharashtra, India6 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building production-ready AI systems.
Led successful cloud migration optimizing costs by 40%.
Proven track record in delivering impactful AI solutions.

Stackforce AI infers this person is a SaaS-focused ML Engineer with strong expertise in AI and cloud infrastructure.

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Skills

Core Skills

Natural Language ProcessingMlops

Other Skills

PythonNode.jsReact.jsContainerizationCloud ArchitectureDevOpsProgrammingWeb DevelopmentSoftware InfrastructureLinuxPostgreSQLDocker SwarmTeam LeadershipTeam BuildingChat

About

"I build AI systems that actually work in production" Senior ML Engineer with a proven track record of delivering complex AI solutions for real-world business challenges. MY APPROACH: 🎯 Start with the business problem, not the technology 🔄 Build iteratively with continuous feedback loops 📊 Focus on measurable impact and system reliability 🚀 Lead teams that deliver on time and exceed expectations CORE EXPERTISE: • Natural Language Processing (RASA, transformer models) • MLOps & Production AI (Azure ML, containerization, monitoring) • Full-Stack Development (React, Node.js, Python ecosystem) • Cloud Architecture (AWS/Azure migration & optimization) • Technical Team Leadership RECENT PROJECTS: ✨ AI-powered employee engagement platform with sentiment analysis ✨ Production NLP chatbot with enterprise-scale deployment ✨ Real-time recommendation engine for HR management systems ✨ Complete cloud infrastructure migration with cost optimization I'm passionate about bridging the gap between cutting-edge AI research and practical business applications. Let's connect if you're tackling interesting ML challenges or building AI-first products!

Experience

6 yrs 7 mos

Total Experience

1 yr 7 mos

Average Tenure

3 yrs 1 mo

Current Experience

W.e.-matter

Senior Software Engineer Team Lead

Apr 2023 – Present · 3 yrs 1 mo · Mumbai, Maharashtra, India · On-site

ML System Architecture & Development:
Architected and deployed production-ready NLP chatbot using RASA framework, handling daily interactions with 95% intent accuracy
Built AI-powered employee engagement platform with sentiment analysis using RoBERTa-XLM model, processing 50K+ employee responses monthly
Implemented automated text categorization system using T5 and BART-large-CNN models for qualitative analysis, reducing manual processing time by 80%
Developed real-time recommendation engine for performance management system, improving employee engagement metrics by 35%
MLOps & Infrastructure:
Led complete cloud migration from AWS to Azure in 30 days, optimizing ML infrastructure costs by 40% while maintaining zero downtime
Established automated ML pipeline with model versioning, A/B testing, and continuous monitoring using Azure ML Services
Implemented containerized deployment strategy with Docker and Kubernetes for scalable ML model serving
Built comprehensive monitoring dashboard for model performance, data drift detection, and system health metrics
Successfully achieved SOC 2 Type 2 certification and completed Vulnerability Assessment and Penetration Testing (VAPT) for infrastructure security compliance
Full-Stack Development & Team Leadership:
Led cross-functional team of 7 engineers in developing suite of AI-powered HR products including PMS, HRMS, and social engagement platform
Architected microservices-based backend using Node.js and Python.
Developed responsive React.js dashboards with real-time data visualization and interactive ML model results
Established CI/CD pipelines reducing deployment time from 4 hours to 15 minutes with automated testing and rollback capabilities