Innovative and forward-thinking professional with 11+ years of experience, blending expertise in Generative AI (GenAI), Artificial Intelligence and Machine Learning (AI/ML), and Data Engineering with a strong foundation in traditional software application development. Currently advancing cutting-edge research and practical implementation of AI-driven systems while pursuing an M.Tech. in Artificial Intelligence and Machine Learning, effectively balancing academic pursuits with ongoing professional responsibilities. Demonstrated success in designing and implementing scalable, data-driven/business impact-driven applications, embedding AI/ML tools into product solutions. A strategist with a deep understanding of Language Translation, Content Localization, and Speech Technologies. Driving innovation in multilingual and AI-driven applications through active research and work on end-to-end ASR systems, Generative AI (GenAI), and Prompt Engineering. Having good experience of analysing and exploring Large Language Models (LLMs) and evaluating Neural Machine Translation (NMT) models for Indic Languages.
- Role
Sr. Software & Meteor Developer
- Years of Experience
12 years
- Professional Portfolio
Skillsets
- LoRA
- Pruning
- prompt tuning
- Prometheus
- Prefix tuning
- Ppo
- PostgreSQL
- Policy gradients
- nginx
- NER
- NEMO
- LSTM
- Q-learning
- Language identification
- LangChain
- Indictrans2
- Indexing
- Hugging Face
- Grafana
- Gradio
- GitHub Actions
- gans
- Flow-based models
- Flask
- SQLScript
- Schema re-architecture
- Flowgraphs
- Vector reranking
- Marian transformer
- Speech data collection
- Zero-shot learning
- whisper
- Wgan
- Wer
- Top-k sampling
- Streamlit
- FlashAttention
- sentiment analysis
- Sarsa
- SARIMA
- SAP HANA Cloud
- Rlhf
- Restful APIs
- react
- rag
- Quantization
- QLoRA
- Microservices
- Indicconformer
- Indicwav2vec
- Views
- Triggers
- Transformers
- Rnn
- pandas
- NumPy
- Nmt
- MLOps
- MLFlow
- Actor-critic
- Kubeflow
- GenAI
- Cnn
- ASR
- Agile
- TensorFlow
- Scikit-learn
- Reinforcement Learning
- PyTorch
- Kubernetes
- Kubernetes
- contrastive learning
- few-shot learning
- federated learning
- FastAPI
- FAISS
- ETL pipelines
- DVC
- Dqn
- DPO
- distributed ML
- Distillation
- Dependency Parsing
- Docker
- Cer
- BM25
- Beam search
- Azure ML
- AWS S3
- AWS EC2
- Autoencoders
- ARIMA
- Annotation
- adapters