About Harsh
I am a dedicated software engineer with over 3+ years of experience specialising in AI/ML systems and MLOps pipelines. My expertise lies in designing scalable backend infrastructures and leading cross-functional teams to deliver high-quality solutions. With a passion for research and implementation, I thrive on building robust systems that drive innovation and enhance productivity.
Skills
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Agile
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Apache Airflow
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API Design
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ArgoCD
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Astronomer
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AWS EC2
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AWS ECR
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AWS EKS
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AWS Lambda
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AWS RDS
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AWS S3
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Caching
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Celery
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CI/CD
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Database Design
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Design Patterns
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Django
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Django Rest Framework
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Docker
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Elastic APM
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Elasticsearch
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FastAPI
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Git
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Github Actions
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Grafana
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gRPC
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HuggingFace
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JavaScript
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Jenkins
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Kafka
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Kibana
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Kubernetes
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Langchain
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Langgraph
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Matplotlib
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mlflow
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MongoDB
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Multithreading
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Mutliprocessing
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Numpy
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Pandas
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Postgresql
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Prometheus
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Python
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Pytorch
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Rate Limiting
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Redis
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RPC
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Scikit-learn
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Seaborn
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SOLID
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SQL
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SQLAlchemy
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System Design
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Tensorflow
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Websockets
Work Experience
2023 - 2025
Project Lead
Dataviv Technologies
Ecosystem for AI Models Lifecycle Management
- Led the design and development of a scalable ecosystem for end-to-end AI model lifecycle management
- Created organisation-wide standards for coding, model packaging, testing, and production rollout
- Optimised the core system infrastructure for reliability and performance, delivering the minimum viable product within three months
- Engineered data collection and ingestion pipelines for preprocessing and model training
- Architected bulk model validation pipelines and scalable model training systems
Ecosystem for AI Models Deployment & Inference
- Designed a scalable MLOps ecosystem for deploying, inferencing, and documenting over 50 models
- Owned 60% of the codebase, developing end-to-end pipelines for model deployment
- Engineered CV algorithms including object detection, instance segmentation, face recognition, pose estimation, virtual try-on, lip-sync, video enhancement, and real time skin diagnosis
- Developed NLP solutions such as RVC, TTS, speech recognition, sentiment analysis, and LLM-based applications
Skin Diagnosis Application for Kaya Clinic
- Led development of AI-driven skin diagnosis application analysing patient images
- Trained models for skin condition analysis, improving accuracy through data cleaning
- Built end-to-end MLOps pipelines, enhancing system reliability
- Collaborated with dermatologists to ensure clinical relevance
2021 - 2022
Automation Analyst
Amazon
Automated e-commerce data extraction using Python and Javascript, reducing manual effort by 70%
Created reports featuring hierarchical structures, functional analysis, and visual data representation
Monitored crawler/scraper logs to ensure data accuracy