Remote worker with 3+ years of experience - Last seen 5 months ago

I am a results-driven Machine Learning Engineer with 2 years of proven experience in building scalable ML solutions for financial risk assessment and credit scoring at Monsoon CreditTech, Mumbai. I have delivered high-impact projects including credit scorecards achieving Gini scores up to 0.74 and successfully integrated cutting-edge generative AI technologies, developing LLM-based workflows and AI agents using LangChain and FastAPI. With a strong educational foundation (95.60% in PG Data Science from Great Lakes Institute) and a unique transition from Civil Engineering to ML, I bring both analytical rigor and adaptability to complex technical challenges. My technical expertise spans traditional ML, deep learning, and generative AI, with hands-on experience in Python, PyTorch, TensorFlow, and cloud deployment using Docker. Known for optimizing system performance (achieved 40-45% processing time reduction), building strong client relationships, and thriving in fast-paced R&D environments, I am actively seeking new opportunities to leverage my ML expertise in challenging roles.

🛂 Nationality	🇮🇳 India
🏡 Residency	🇮🇳 India
📍 Location	🇮🇳 India
Remote OK	rok.co/@sandeepkumarnaik8
LinkedIn	sdfljasfjkhsdfajsf ⭐️ Upgrade to Premium to contact
Skilled in	machine learning python pytorch tensorflow scikit learn xgboost lightgbm deep learning neural networks cnn rnn transformers llm generative ai langchain nlp feature engineering model deployment fastapi docker sql postgresql pandas numpy credit risk modeling financial analytics prompt engineering statistical modeling hyperparameter tuning data pipeline predictive modeling classification regression logistic regression random forest gradient boosting support vector machines data engineering exploratory data analysis model optimization api dev risk assessment credit scoring
Fluent in	englishhinditelugu
Preferred annual pay (min)	$16,000/year
Last seen	5 months ago
Signed up	6 months ago
Badges	👨‍💻 Remote worker