Anas Anwar

Machine Learning Engineer

Kurnool, Andhra Pradesh, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a multi-modal fake content detection system.
Contributed to climate forecasting with extensive data handling.
Implemented robust MLOps pipeline for LLM fine-tuning.

Stackforce AI infers this person is a Data Scientist with expertise in Machine Learning and Computer Vision.

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Skills

Core Skills

Machine LearningData ScienceComputer Vision

Other Skills

Anomaly DetectionC++Climate ForecastingCommunity Detection AlgorithmsData PreprocessingDeep LearningFeature ExtractionGoogle colabGraph CoveringHuggingFaceKerasLLM Fine-tuningLangChainMLOpsMulti-modal Systems

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Indian institute of technology (indian school of mines), dhanbad

Computer Science Intern (Research)

May 2025 – Jul 2025 · 2 mos · Dhanbad, Jharkhand, India · On-site

Contributing in Application based Graph Covering with dense subgraph families via Triangle-Rich Sets
Working on community detection algorithms and using RTRextractor to increase its efficiency Triangle-Rich Sets
Contributing to finetuning of LLM on custom dataset and implementing robust MLOps pipeline(CI/CD)

Graph CoveringCommunity Detection AlgorithmsMLOpsLLM Fine-tuningMachine LearningData Science

Indian institute of information technology allahabad

Machine Learning Intern

Dec 2024 – Feb 2025 · 2 mos · Hybrid

Built a multi-modal fake content detection system using OpenAI's CLIP, classify manipulated social media posts with 89% accuracy (F1-score).
Boosted labeling efficiency by 35% by fine-tuning CLIP's feature extraction on 10K+ heterogeneous samples.

OpenAI CLIPMulti-modal SystemsFeature ExtractionMachine LearningComputer Vision

Drdo, ministry of defence, govt. of india

Data Science Intern

May 2024 – Jul 2024 · 2 mos · Remote

Collaborated on a climate forecasting project using the NOAA Global Surface Summary of the Day (GSOD) dataset, handling over 20 million+ weather records from 9,000+ stations worldwide.
Designed and maintained the end-to-end data preprocessing pipeline, including anomaly detection and normalization.

Climate ForecastingData PreprocessingAnomaly DetectionData ScienceMachine Learning