S Shrikant

Data Scientist

Pune, Maharashtra, India7 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Achieved 94%+ accuracy in predictive ML models.
  • Improved business KPIs by 25% through real-time models.
  • Expert in Generative AI and MLOps frameworks.
Stackforce AI infers this person is a SaaS-focused AI Engineer with expertise in Generative AI and MLOps.

Contact

Skills

Core Skills

Generative AiMlopsTest Automation

Other Skills

Machine LearningNLPDeep LearningAgentic AIMLOps/LLMOpsPythonSQLLangChainLangGraphHugging FaceOpenAI APIsRetrieval-Augmented GenerationAWSAzureSoftware Development Life Cycle

About

✦ Experienced in ML,DL, NLP, Generative AI, Agentic AI, & MLOps/LLMOps, driving large-scale, business-focused AI solutions.Proficient in Python,SQL, GitHub.Led the design, development, & deployment of LLM-powered applications, GenAI systems, & real-time RAG pipelines. Built robust multi-agent AI architectures leveraging LangChain, LangGraph, CrewAI, & Hugging Face Transformers. Delivered production-ready solutions with OpenAI,Llama,Azure, & AWS Bedrock APIs, vector databases (Pinecone, ChromaDB, Qdrant, Weaviate), & embedding models. ✦ Expanding further on my expertise, I consistently apply cutting-edge solutions in Generative AI—integrating RAG architectures, advanced multimodal & transformer-based models, & vector search to elevate business workflows. Demonstrated proficiency with memory-augmented & tool-augmented LLM systems, orchestrating microservice-based AI deployments. I drive innovation using popular agentic frameworks (CrewAI, AutoGen,MCP,ADK), applying prompt learning & neural architecture search to address novel enterprise challenges. ✦ Orchestrated all stages of model lifecycle: E2E data preparation, feature engineering, supervised/unsupervised learning, model evaluation, & scalable deployment on AWS SageMaker, Azure ML, & Kubernetes.Automated pipelines with Apache Airflow/Kubeflow, MLflow, & Docker CI/CD,model monitoring (Evidently, Prometheus, Grafana), & drift detection. ✦ Advanced expertise with LLM fine-tuning, prompt engg,agent orchestration & memory/context management for domain-adapted solutions. ✦ Drove measurable results: improved business KPIs by 25% via real-time predictive ML/GenAI models, boosted automation, & enhanced customer engagement through applied NLP, advanced sentiment analysis, & document intelligence. Recognized for cross-functional collaboration, mentoring, & continuous upskilling in the latest AI, LLMOps, & Agentic frameworks, maintaining a focus on Responsible AI, governance, & compliance. ------------------------------------------- 🤝 Soft Skills • Clear communicator of complex AI concepts • Strong team leadership • Agile learner • ROI-driven innovator ------------------------------------------- ✦ I hold certifications in AWS ML Specialty, PMP, AIGP, & OCI Gen AI-and I’m passionate about operationalizing AI with integrity. -------------------------------------------- ✦ I am passionate about pioneering GenAI & Agentic AI to deliver enterprise-ready, high-impact AI solutions. Open to Full time/freelancing opportunities in Data Science, NLP, Generative AI, Agentic AI, & MLOps/LLMOps roles..

Experience

7 yrs 3 mos
Total Experience
3 yrs 7 mos
Average Tenure
5 yrs 5 mos
Current Experience

Synechron

Data Scientist

Dec 2020Present · 5 yrs 5 mos · India · Hybrid

  • Experience in Machine Learning, NLP, Deep Learning, Generative AI, Agentic AI, and MLOps/LLMOps. I build LLM-powered applications, RAG pipelines, and multi-agent AI systems using LangChain, LangGraph, LlamaIndex, CrewAI, Hugging Face, and OpenAI APIs, delivering scalable and business-focused AI solutions.
  • Currently working on Generative AI & Agentic AI projects, I specialize in designing context-aware AI architectures, RAG optimization, multi-agent orchestration, and responsible AI frameworks that drive real-world impact.
  • 🛠️ Core Skills
  • Languages & Frameworks: Python, R, SQL, FastAPI, Flask, PyTorch, TensorFlow, Keras
  • ML/DL: Regression, Classification (SVM, XGBoost, RF), Clustering, PCA/LDA, CNN, RNN, LSTM, GRU, ResNet, VGG, YOLO, Transformers, Diffusion Models
  • NLP/LLMs: BERT, GPT models, embeddings, summarization, sentiment analysis, NER, Attention, Encoder-Decoder, Text-to-SQL, Speech-to-Text
  • GenAI & Agents: LangChain, LangGraph, LlamaIndex, CrewAI, Autogen, RAG/Graph RAG, AI Agents, Prompt Engineering, Guardrails, LangSmith, RAGAs, Knowledge Graphs
  • Vector Databases: Pinecone, FAISS, ChromaDB, Weaviate, Qdrant, Milvus, MongoDB Atlas, Azure Cosmos DB, Neo4j
  • Cloud & MLOps: AWS (SageMaker, Bedrock, EC2, Lambda, ECS, ECR, S3), Azure OpenAI, GCP Vertex AI, Docker, Kubernetes, Kubeflow, MLflow, Airflow, Kedro, DVC, CI/CD, Monitoring (Evidently, Feast)
  • Big Data & Analytics: Hadoop, Spark, MySQL, PostgreSQL, MongoDB, Power BI, Tableau, Matplotlib, Seaborn
  • Optimization: LoRA, QLoRA, RLHF, Quantization, Pruning
  • 🌟 Highlights
  • Achieved 94%+ accuracy in ML models for predictive analytics.
  • Built real-time models improving response efficiency by 25%.
  • Developed LLM-based NLP pipelines boosting retrieval & summarization by 30%.
  • Designed multi-agent GenAI systems enhancing contextual reasoning & automation.
Machine LearningNLPDeep LearningGenerative AIAgentic AIMLOps/LLMOps+7

Eclerx

Test Automation Engineer

Feb 2019Dec 2020 · 1 yr 10 mos · Pune

  • Around 2 Years extensive experience in working and handling software projects in automation. Knowledge of Software Development Life Cycle, Test Methodology. Aware of the responsibilities and process in the scrum. As a part of the Agile development project, always involved in each and every stage of STLC beginning from requirement analysis to test case development & test execution to defect tracking and managing defect life cycle. Strong work experience in Estimation, develop and execute software strategy, planning, reporting, risk identification & mitigation plan at the project/account level. Hands-on experience and Diverse exposure in various open-source and commercial automation tools – Selenium, Cucumber, etc. Proficient in setting up Automation Infrastructure using AWS, Docker.
  • Domain Experience: Insurance, Investment Banking Domain, Telecom Billing (BSS)
Test AutomationSoftware Development Life CycleAgile MethodologiesSeleniumCucumberAWS+1

Education

Savitribai Phule Pune University

MTech - Master of Technology

GF'S GCOE

Bachelor of Engineering

SYMBIOSIS INTERNATIONAL UNIVERSITY

PGDBA — OPERATIONS

Jan 2015Jan 2017

S.E.S Polytehnic

Diploma in Engineering

Stackforce found 100+ more professionals with Generative Ai & Mlops

Explore similar profiles based on matching skills and experience