Resume | Shashipal

PROFILE

Full-Stack AI Engineer experience in building and deploying ML application on cloud. Proficient in business Intelligence tools, enabling data-driven decision-making for business growth. As a passionate data professional, I continuously stay updated with the latest trends in machine learning and generative AI to deliver cutting-edge analytics solutions.

EXPERIENCE

AI/ML Engineer

Jun/2023 - Present

Wayzon Technology

Engineered an Agentic-AI HR chatbot using LLMs and LangChain, MCP to automate employee policy query responses, reducing manual HR workload by 40%.
Fine-tuned LLMs using QLoRA with 4-bit quantization (nf4, double quantization), bfloat16 mixed-precision, gradient checkpointing, and PEFT-based LoRA adapter injection — reducing VRAM usage by ~60% while preserving model performance.
Orchestrated end-to-end MLOps pipelines using DVC, MLflow, and FastAPI, containerized with Docker, and deployed on AWS ECS for scalable production serving.
Integrated EvidentlyAI for real-time model/data drift monitoring, reducing model degradation events by 45% through automated retraining triggers.
Developed sales and revenue dashboards surfacing real-time KPIs, accelerating strategic decision-making cycles by 25% across stakeholder teams.

Software Engineer

Apr/2022 - Jun/2023

Compunnel Digital

Implemented a scalable feature extraction pipeline using Pandas and Scikit-learn, processing 20K+ records weekly and slashing model training time by 35%.
Orchestrated AI-driven speech recognition to process 10K+ daily call transcriptions, achieving an 80% reduction in manual processing overhead.
Trained computer vision models for image quality assessment, improving evaluation efficiency by 35%.
Automated data quality monitoring pipelines using Great Expectations, Pandas, and dbt, reducing data defects by 40% and improving pipeline reliability across production workflows.
Enhanced interactive Power BI dashboards with multi-source data integration, reducing reporting and analysis effort by 60%.
Designed and deployed operations dashboards consolidating KPIs into a unified view, improving cross-functional operational visibility and enabling data-driven decision-making.