Shreyojit Das

Product Manager

Gurugram, Haryana, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable AI solutions for diverse industries.
Proven track record in automating workflows and enhancing productivity.
Strong background in healthcare AI and cloud technologies.

Stackforce AI infers this person is a Healthcare and AgriTech AI Developer with expertise in scalable solutions and cloud technologies.

Contact

Skills

Core Skills

Ai DevelopmentCloud SolutionsGenerative AiMachine LearningNatural Language ProcessingHealthcare AiSoftware Development

Other Skills

AI-powered proof-of-conceptsscalable AI solutionsinsurance domain expertiseGenAI solutionsAzure OpenAI pipelinesfine-tuned LLMsfault-tolerant inference systemsautomated triage workflowsSpark-based AI/ML infrastructureNLP modelsbatch processingnormalizationAI pipelinesdomain-specific LLMsagentic AI workflows

About

Crafting intelligent, scalable solutions that solve real-world problems — from automating enterprise workflows to extracting meaning from messy, unstructured data. Experienced in building production-grade AI systems with LangChain, RAG, fine-tuned LLMs, and AI agents — using tech stacks that span Python, AWS, and Azure. Driven by impact: turning complexity into simplicity with code, machine learning, and human-first design

Experience

1 yr 9 mos

Total Experience

10 mos

Average Tenure

11 mos

Current Experience

Exavalu

AI Developer (Digital Engineer)

Jul 2025 – Present · 11 mos · United States · Remote

Partner with insurance clients across the USA and Canada to drive AI-powered proof-of-concepts (POCs) for digital transformation in core insurance products and operations
Building scalable AI and cloud solutions designed to support high-traffic platforms with millions of users.
Actively deepening domain expertise in Insurance and BFSI (Banking, Financial Services, and Insurance) to deliver context-aware, compliant, and innovative solutions.
Combining technical excellence with strategic insights to enable growth, efficiency, and enhanced customer experiences through cutting-edge technology.

AI-powered proof-of-conceptsscalable AI solutionscloud solutionsinsurance domain expertiseAI DevelopmentCloud Solutions

Agenixai

2 roles

Generative AI Engineer

Jan 2025 – Jul 2025 · 6 mos · Remote

Client: Leading U.S. Healthcare & Pharmacy Retailer
Engagement: Via YT Global Pvt Ltd, Delaware, USA
Delivered GenAI solutions to automate IT ticket handling, reducing manual workload by 40% and accelerating resolution times.
Built Azure OpenAI pipelines with few-shot learning, improving classification accuracy from ~40% to 95%+ across 20+ ticket categories.
Fine-tuned LLMs on unstructured logs with batch processing and normalization, enhancing generalization and stability.
Engineered fault-tolerant inference systems using asyncio and rate-limiting for high-throughput, low-latency model performance at scale.
Aligned LLM outputs with enterprise protocols to improve usability, trust, and compliance across internal teams.
Developed domain-specific NLP models to increase data consistency by 60% across legacy enterprise systems.
Automated triage workflows using lightweight AI agents, saving 15+ manual hours weekly and boosting team productivity.
Conducted RCA on high-volume incident types, reducing recurring issues by 30% through fixes in config, logs, and workflows.
Built and scaled Spark-based AI/ML infrastructure handling 4M+ monthly transactions with 99.9% uptime and real-time monitoring.
Maintained low-latency processing; resolved 100+ production tickets, ensuring SLA compliance and operational continuity.
Defined domain-specific KPIs and dashboards to measure real-world model impact and drive adoption.
Implemented LLM guardrails to prevent prompt injection, bias, and hallucination, ensuring safe, compliant behavior in AI agents.
Collaborated in Agile teams using Jira and Confluence for sprint planning, documentation, and cross-team coordination.

GenAI solutionsAzure OpenAI pipelinesfine-tuned LLMsfault-tolerant inference systemsautomated triage workflowsSpark-based AI/ML infrastructure+2

Data Scientist

Sep 2024 – Mar 2025 · 6 mos · Remote

Led development of the AgenixAI Healthcare Product, architecting end-to-end AI pipelines for multimodal healthcare data (medical reports, prescriptions, imaging scans), enabling real-time clinical intelligence and reducing diagnostic turnaround time by 70%.
Fine-tuned domain-specific LLMs (BioBERT, SciSpacy, Transformers) for intelligent NER and relation extraction, significantly boosting the accuracy of clinical data processing and EMR integration.
Leveraged agentic AI workflows using LangChain and Hugging Face to autonomously extract and synthesize medical knowledge, streamlining physician support tasks like summarization, triage, and coding.
Delivered smart clinical features such as doctor-patient voice-to-text summaries, treatment recommendation agents, and drug interaction checkers—minimizing cognitive load and elevating care quality.
Automated EHR workflows with autonomous agents, enabling generation of discharge summaries, multilingual follow-up reminders, and proactive high-risk patient alerts, reducing administrative overhead by 50%.
Engineered agentic, reactive CRAG pipelines to power real-time clinical fact-checking using trusted medical sources (e.g., Mayo Clinic, WebMD, NIH etc), ensuring chatbot-delivered guidance remains accurate, up-to-date, and regulatory-compliant—enhancing trust and safety for both healthcare providers and patients.
Built health equity dashboards using self-refreshing agent chains, equipping clinicians and hospital leadership with actionable insights to address disparities and improve population outcomes.
Enabled seamless telehealth orchestration by integrating agentic automation into scheduling, documentation, and compliance workflows—creating an end-to-end, intelligent virtual care ecosystem.
Tech Stack: Python, Hugging Face Transformers, LangChain,MCP, TensorFlow, OpenCV, Azure OpenAI, Llama3,Fastapi, Docker, AzureDevops, FHIR APIs.

AI pipelinesdomain-specific LLMsagentic AI workflowsEHR workflowshealth equity dashboardsHealthcare AI+1

Bright star

SDE(Contract)

Jul 2021 – Apr 2022 · 9 mos · Mumbai Metropolitan Region · Remote

Contributed to building a scalable AgriTech e-commerce platform focused on delivering pesticide-free, farm-fresh organic produce directly to consumers.
Developed and maintained Spring Boot microservices for product management, order processing, inventory tracking, and real-time notifications, orchestrated using Kubernetes and Helm on Google Kubernetes Engine (GKE).
Containerized applications using Docker and implemented CI/CD pipelines on Google Cloud Platform (GCP) for automated deployment.
Tech Stack: ReactJS, Spring Boot, Spring Cloud, Docker, Kubernetes, Helm, Google Cloud Platform (GCP)

AgriTech e-commerce platformSpring Boot microservicesCI/CD pipelinesKubernetesSoftware DevelopmentCloud Solutions