Manik Sharma on Tal
Headline
Cloud-Native Systems | AWS & Azure | Kubernetes | Observability (Prometheus/Grafana & Jaeger) | LLMs, RAG, Hugging Face, PyTorch | ML/Platform Engineer
About
Platform/ML Engineer with 5+ years of experience designing, building, and scaling cloud-native, ML-driven, and IoT systems across AWS, Azure, and Kubernetes (EKS). I specialize in end-to-end ML/AI pipelines, observability platforms, and scalable microservices that deliver measurable business impact. 💡 My expertise lies in blending ML engineering + cloud infrastructure: ML/AI: PyTorch, Hugging Face, LangChain, RAG, WhisperX, embeddings, vector DBs Cloud/Infra: AWS (EKS, Lambda, S3, DynamoDB, SAM), Azure (IoT Hub, Functions, Speech Studio, AI Studio) Observability/Workflow: OpenTelemetry, OpenSearch, Grafana, Cadence, Jaeger DevOps/Automation: Pulumi, GitLab CI/CD, ArgoCD, Python 👉 Now, I’m looking to transition deeper into ML engineering roles, focusing on LLM applications, RAG pipelines, and scalable ML systems where I can apply both infrastructure engineering and deep learning expertise.
AI stack
cursor
opencode
claudecode
Work experience
DevOps Engineer at FPL Technologies, Sep 2023 - Present · 3 yrs, Pune, Maharashtra, India
Associate Consultant at Virtusa, Nov 2022 - Sep 2023 · 11 mos, Pune, Maharashtra, India
Team Leader at Husk Power Systems, May 2022 - Nov 2022 · 7 mos, New Delhi, Delhi, India
Internet of Things Consultant at Husk Power Systems, Jun 2021 - May 2022 · 1 yr, New Delhi, Delhi, India
Internet of Things Engineer at Husk Power Systems, Jun 2020 - Jun 2021 · 1 yr 1 mo, Patna, Bihar, India
Business Development Executive at LIDO, Sep 2019 - Oct 2019 · 2 mos
Education
Bachelor of Engineering - BE, Information Technology, CHANDIGARH UNIVERSITY
