Summary
Overview
Work History
Education
Skills
Websites
Certification
Timeline
Generic
SHASHANK SHEKHAR PANDEY

SHASHANK SHEKHAR PANDEY

Summary

AI Developer with 3.5+ years of hands‑on experience in data science, machine learning and generative AI, adept at designing and deploying AI‑powered agents and advanced analytics solutions to drive data‑driven decision‑making and streamline business processes. Proven ability to leverage state‑of‑the‑art models and automation to deliver high‑impact results and accelerate strategic growth within fast‑paced, innovation‑driven organizations.

Overview

3
3
years of professional experience
1
1
Certification

Work History

Artificial intelligence developer

Eminence Technology
01.2025 - Current
  • Designed and deployed AI‑powered virtual assistants for real‑time parental guidance, leveraging FastAPI and RESTful APIs to deliver personalized, context‑aware support.
  • Architected and launched a comprehensive AI product suite for toddlers (ages 2–3), including automated meal planning with dynamic nutrition recommendations and EMR‑integrated health monitoring dashboards.
  • Developed “StoryTime AI,” an interactive bedtime‑story generator using LLaMA, Groq, Grok, and OpenAI GPT models; optimized prompts to boost content relevance and user engagement by 35%.
  • Engineered customizable AI avatars with generative vision and NLP backends, enabling real‑time avatar personalization and expressive interactions.
  • Built and exposed multiple scalable AI microservices via FastAPI, integrating text‑to‑speech pipelines for immersive audio narration and facilitating third‑party integrations through REST and WebSocket endpoints.
  • Implemented multi‑step LLM orchestration using LangChain, chaining prompts for meal plans, stories, and avatar dialogue to streamline conversational flows and reduce latency by 40%.
  • Led prompt engineering and fine‑tuning efforts on proprietary datasets, resulting in a 25% improvement in meal‑recommendation accuracy and a 20% uplift in story coherence metrics.
  • Managed data persistence with MongoDB, designing scalable schemas for user profiles, EMR records, and session logs, ensuring 99.9% uptime and sub‑second query performance.


DATA SCIENTIST

Pai Solutions Pvt Ltd
12.2022 - 12.2024
  • Designed end-to-end MLOps pipelines with Docker, integrating continuous integration and delivery (CI/CD) practices to automate data validation, training, and A/B testing of models with zero-downtime updates.
  • Developed “AutoQuery,” a natural language–to–SQL assistant powered by LLaMA 3, enabling non-technical analysts to generate complex database queries via conversational prompts and slashing report turnaround by 60%.
  • Fine-tuned high‑performance deep learning architectures, including ResNet and Transformer variants, for image recognition and NLP tasks; achieved a 22% uplift in classification accuracy and a 15% reduction in inference latency.
  • Built “ForecastFlow” predictive engines using Python, PyTorch, and XGBoost to forecast demand and churn; delivered actionable forecasts to marketing and operations teams, improving campaign ROI by 25%.
  • Implemented “ProphetPulse” sales forecasting on Google Cloud Platform using Vertex AI and Facebook Prophet, automating time‑series modeling, achieved a 30% reduction in forecast error and enabled supply chain teams to optimize inventory with 20% lower stockouts.


MACHINE LEARNING ENGINEER

ECPL
12.2021 - 12.2022
  • Fine‑tuned deep learning architectures (CNNs, RNNs) for image classification and NLP tasks, achieving a 20% boost in accuracy and a 30% reduction in inference latency through custom data augmentation and hyperparameter optimization.
  • Built and deployed customer‑segmentation (classification) and sales‑forecasting (regression) models, leveraging feature engineering best practices to inform pricing strategy—resulting in a 15% increase in revenue per user.
  • Containerized and served ML applications via Flask and Streamlit, seamlessly integrating “RiskGuard” credit‑risk and “RecoSmart” product‑recommendation models into production, improving decision‑making throughput by 50%.
  • Architected interactive dashboards and executive reports in Power BI and Tableau, visualizing KPIs for “Inventory Optimizer” (anomaly detection) and “ServicePulse” (customer‑sentiment) projects—enabling weekly, data‑driven decisions that cut stockouts by 18%.
  • Designed and implemented predictive analytics solutions in Python (scikit‑learn, pandas), delivering dynamic churn and revenue forecasts that drove a 25% uplift in targeted campaign ROI across finance and customer‑success teams.

Education

MBA - Data Analytics And Intelligence

SGVU
07.2024

BCA - undefined

Jaipur National University
03.2022

Skills

  • Git
  • Python
  • Machine learning
  • Deep learning
  • Pytorch
  • Scikit-learn
  • LLM
  • Docker
  • Computer vision
  • SQL
  • Mongodb
  • AWS
  • GCP
  • Tensorflow
  • Langchain
  • PowerBI
  • Snowflake
  • Github
  • Data analysis
  • NLP
  • Hugging face
  • AI agents
  • Fast API
  • MCP
  • Agentic AI

Certification

  • Learning with Tensorflow, Google Cloud
  • Generative AI architecture and application development, Edureeka
  • Statistics, Stanford University
  • Machine learning, IBM
  • Google Business Intelligence, Google

Timeline

Artificial intelligence developer

Eminence Technology
01.2025 - Current

DATA SCIENTIST

Pai Solutions Pvt Ltd
12.2022 - 12.2024

MACHINE LEARNING ENGINEER

ECPL
12.2021 - 12.2022

BCA - undefined

Jaipur National University

MBA - Data Analytics And Intelligence

SGVU

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