Prakash Kantumutchu

Product Manager

Delhi, India8 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in MLOps and LLM systems.
Transitioned from aviation engineering to AI product management.
Mentoring future engineers in AI careers.

Stackforce AI infers this person is a SaaS-focused AI/ML Engineer with strong product management skills.

Contact

k.prakashofficial@gmail.com LinkedIn

Skills

Core Skills

Technical Product ManagementLlm SystemsMlopsCloud InfrastructureAi/ml EngineeringMachine LearningAviation EngineeringMaintenance EngineeringTeachingMentoring

Other Skills

LLM workflowsBackend architectureAPI designApache AirflowMLflowKubernetesAzure MLAWSCI/CD pipelinesTensorFlowPyTorchPySparkFastAPIStreamlitAircraft Maintenance

About

I went from inspecting jet engines at Air India to building LLM pipelines for an AI startup. Nobody planned that path. I built it — certification by certification, deployment by deployment, mistake by mistake. Today I'm a Technical Product Manager at RVM CAD, where I own end-to-end product delivery for AI-powered and voice-driven systems. My work sits at the intersection of LLM workflows, Hindi/Hinglish NLP, backend architecture, and real user problems. My background spans: → MLOps at scale — Apache Airflow, MLflow, Kubernetes, Azure ML, CI/CD pipelines → LLM systems — RAG architectures, fine-tuning, prompt engineering, multi-tenant AI → Aviation-grade precision — 4 years maintaining Airbus A320s under DGCA/EASA standards That last one matters more than it sounds. When you've certified aircraft airworthy, you develop a very different relationship with production failures. What I help people with (on Topmate): → Resume reviews for AI/ML/TPM roles → Breaking into MLOps — roadmap, stack, projects → LinkedIn optimization so HRs actually find you → Career clarity for engineers at a crossroads If you're a CSE student, junior engineer, or professional thinking about switching tracks — feel free to connect or book a session. topmate.io/prakash_kantumutchu

Experience

8 yrs 5 mos

Total Experience

2 yrs

Average Tenure

1 mo

Current Experience

Rvm cad

Technical Product Manager

Apr 2026 – Present · 1 mo · Faridabad · On-site

Leading product delivery for an AI-powered, voice-driven job marketplace platform built for CAD and mechanical engineering professionals.
Own the full LLM workflow stack — intent extraction, language understanding, and structured data generation with a focus on Hindi, regional dialects, and Hinglish inputs
Define backend architecture, API design, and cloud infrastructure decisions end-to-end
Drive MVP execution and roadmap planning, reporting directly to the CEO
Act as the strategic bridge between business requirements and engineering — translating user problems into shipped features

Technical Product ManagementLLM workflowsBackend architectureAPI designCloud infrastructureLLM systems

Futurense technologies

ML-Ops Specialist

Aug 2025 – Apr 2026 · 8 mos · Noida · On-site

Built and maintained production-grade ML infrastructure serving enterprise clients across Azure and AWS environments.
Architected end-to-end ML pipelines using Apache Airflow, MLflow, and Kubernetes — reduced model deployment cycle time by 40% and achieved 100% environment reproducibility
Designed cloud-native infrastructure on Azure ML / AKS — cut monthly compute costs by 25% through spot instance strategy and auto-scaling
Built automated CI/CD pipeline on GitHub Actions + Kubeflow (SageMaker) — reduced deployment time by 40% while maintaining GDPR and SOC2 compliance
Led GenAI integration — fine-tuned and deployed LLMs with RAG architectures for internal business intelligence
Standardised model monitoring stack for data drift and performance decay — reduced retraining trigger response time by 30%

MLOpsApache AirflowMLflowKubernetesAzure MLAWS+2

Boven technologies

AI/ML Engineer

Jun 2023 – Jul 2025 · 2 yrs 1 mo · Bengaluru · On-site

Developed and scaled high-performance ML systems for enterprise predictive analytics and internal automation.
Built ML systems using TensorFlow, PyTorch, and PySpark processing multi-terabyte datasets — improved model accuracy by 15%
Productionalized LLM-based summarization and Q&A using FastAPI (high-throughput backend) and Streamlit (executive dashboards)
Automated the ML lifecycle with MLflow + GitHub Actions — saved the team 15+ hours/week in manual overhead
Reduced inference latency by 50% through containerised microservices and model quantization for real-time automation tools
Implemented SHAP and LIME for model interpretability — gave stakeholders transparent, auditable insight into model decisions

TensorFlowPyTorchPySparkMLflowFastAPIStreamlit+2

Air india limited

Aircraft Maintenance Engineer

Feb 2019 – May 2023 · 4 yrs 3 mos · Kolkata · On-site

Maintained airworthiness of Airbus A320 family aircraft under DGCA and EASA regulatory standards — a role where errors have zero tolerance.
Specialised in engine systems (CFM56-5B), APUs, hydraulic, pneumatic, and flight control systems
Executed heavy maintenance checks (MPD45) using OEM manuals — AMM, CMM, IPC
Performed Non-Destructive Testing (NDT) and issued airworthiness certifications
Gained cross-functional exposure across Line Maintenance, Base Maintenance, and Workshop Operations
This role shaped how I think about production systems: reliability isn't a feature — it's the baseline.

Aircraft MaintenanceAirworthinessNon-Destructive TestingAviation EngineeringMaintenance Engineering

Vitam college of engineering

Assistant Professor

May 2017 – Sep 2018 · 1 yr 4 mos · Visakhapatnam, Andhra Pradesh, India · On-site

Taught undergraduate mechanical engineering courses with a focus on core concepts and practical applications.
Mentored the Robotics Department, guiding student projects and promoting innovation.
Served as the Campus Recruitment Officer, coordinating placement activities and industry outreach.

Mechanical EngineeringRoboticsCurriculum DevelopmentTeachingMentoring