Sankalp M.

Software Engineer

Bengaluru, Karnataka, India5 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Machine Learning and Deep Learning.
Proven track record in deploying scalable AI systems.
Strong background in Computer Vision and Natural Language Processing.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Telecommunications and Cloud Computing.

Contact

Skills

Core Skills

Machine LearningTechnical ArchitectureDeep LearningComputer VisionProduction Deployment

Other Skills

Artificial Intelligence (AI)C++Cloud ApplicationsComputer NetworksDistributed SystemsExplainable AIGo (Programming Language)Google Cloud Platform (GCP)JavaKerasKubernetesLTELinuxMacOSNatural Language Processing (NLP)

About

Programmer by profession. Mathematician and ML researcher by passion. DM for ML-related collaborations. Want guidance? Please visit https://topmate.io/sankalpmittal.

Experience

Indian institute of science (iisc)

Research Assistant

Jul 2024 – Nov 2024 · 4 mos · Bengaluru, Karnataka, India · Hybrid

Worked with Prof. Venkatesh Babu in deep learning and computer vision: generative adversarial networks, multimodal learning, diffusion models, etc.

Machine LearningDeep LearningComputer VisionArtificial Intelligence (AI)Natural Language Processing (NLP)PyTorch

Google

Software Engineer

Jun 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

Working with GDC teams to scale out rack bootstrap and cluster creations.
Contributed to Nightingale, a RAG-based log analyzer to assist cloud on-callers.
Worked on GDC Observability and alerts mechanisms.
Part of AI educators club.

Technical ArchitectureProblem SolvingKubernetesC++Go (Programming Language)Machine Learning+5

Department of cse, iit hyderabad

Researcher

Aug 2022 – Nov 2024 · 2 yrs 3 mos · Hyderabad, Telangana, India

Technical ArchitectureProblem SolvingSoftware Defined NetworkingComputer NetworksP4 (Language)Machine Learning+6

Ericsson

Software Engineer, AI & Systems

Aug 2020 – Aug 2022 · 2 yrs · Bengaluru, Karnataka, India

Developed and deployed ML models for 5G network traffic prediction and anomaly detection, reducing congestion events by 23% using LSTM-based forecasting and unsupervised clustering.
Designed and maintained scalable ML pipelines using MLflow for experiment tracking, Apache Airflow for orchestration, and Kubernetes for containerized deployment, and reduced model deployment cycles from 5 days to 3 days.
Optimized inference on edge devices using TensorRT and ONNX, lowering latency by 30ms and enabling real-time decision-making in RAN systems.
Collaborated with teams across India, Sweden, and the U.S. to productionize AI systems impacting over 50 million users; led monitoring and retraining to sustain >92% accuracy.

Production DeploymentCloud ApplicationsOpenFlowPython (Programming Language)C++Machine Learning