A results-driven AI/ML professional with nearly 3 years of experience transforming complex data into deployed intelligence. Currently working as an AI/ML Engineer at Turing, contributing to production-grade AI/ML and Generative AI projects, including LLM instruction-following and evaluation initiatives. Specializing in end-to-end AI/ML pipelines, from deep learning models (YOLO, CNNs) to Generative AI applications (LLMs, GANs). Proficient across the data stack including Python, SQL and Power BI with a proven ability to deliver actionable insights and scalable, intelligent solutions.
Leveraging nearly 3 years of experience to drive strategic insights through advanced Data Science and AI/ML techniques, I am currently working as an AI/ML Engineer at Turing, contributing to production-grade AI/ML and Generative AI projects. My skill set includes machine learning, deep learning, and Generative AI, with hands-on expertise in Python, SQL, PyTorch, Transformers, and prompt engineering for LLM instruction-following and evaluation. I specialize in building and deploying end-to-end AI/ML pipelines, covering CNNs, object detection (YOLO), transfer learning, and Generative AI systems (LLMs, GANs, Stable Diffusion). I am proficient across the full data lifecycle, including data wrangling, feature engineering, statistical modeling, and visualization using Power BI and Tableau. I focus on delivering scalable, reliable AI solutions and measurable business impact.
Developed a Falcon LLM-powered chatbot with context retention, successfully improving response relevance by 30% and scaling to handle 10K+ daily queries.
Skills: Generative AI (LLM), Prompt Engineering, Transformers, RAG, Hugging Face, Python
Implemented YOLO object detection on video datasets, delivering 95% mAP and achieving real-time performance at 30 FPS for surveillance applications.
Skills: Deep Learning, Computer Vision, YOLO, Custom YOLO Training, Python, Model Inference
Implemented a facial recognition pipeline using MTCNN for face detection and Inception-ResNet-V1 for classification, achieving 92% accuracy with transfer learning.
Skills: Facial Recognition, MTCNN, Inception-ResNet-V1, Transfer Learning, Data Augmentation, Python
Built a Scikit-learn regression model ($R^{2}=0.87$) with feature engineering and delivered an interactive Power BI dashboard for real-time insights.
Skills: Scikit-learn, Regression, Feature Engineering, Power BI, Statistical Modeling, Python
Engineered a fraud detection pipeline for 100K+ transactions, achieving 96% accuracy with real-time alerts that cut false negatives by 20%.
Skills: Machine Learning, Classification, Feature Engineering, Python, MySQL, Power BI
Developed an interactive Power BI dashboard integrating Excel & SQL data, automating reports to track KPIs and boost sales insights by 30%.
Skills: Power BI, MySQL, ETL, Data Visualization, Advanced Excel, DAX, Data Modeling, KPI Analysis
Turing (Contract), US
Dec 2025 – Present
Project: Meta ML Debug Nodes – AI/ML Developer (Present)
Developed end-to-end AI/ML pipelines including data preprocessing, feature engineering, model training, and deployment,
integrating classical machine learning and deep learning techniques. Implemented predictive and generative AI models
using PyTorch, Transformers, and custom neural networks on real-world datasets. Evaluated model performance,
optimized hyperparameters, and ensured robustness and scalability for production-grade AI solutions.
Project: NVIDIA SysBench – Prompt Engineer
Designed and validated multi-turn instruction-following datasets for large language models to improve SysBench
benchmark performance. Created deterministic system prompts with measurable constraints (role, action, style,
content, format) and ensured adherence using automated and human evaluation rubrics. Assessed multi-turn stability
and instruction compliance under aligned and misaligned user scenarios to enhance LLM robustness.
Concentrix, India
Mar 2023 – Apr 2025Analyzed large datasets using SQL, Python, and cloud platforms (AWS, Azure, GCP) to forecast performance. Built and deployed ML models (classification, clustering, regression), and designed Power BI dashboards and automated reports for senior leadership.
1Stop.ai
Aug 2023 – Nov 2023Conducted data cleaning and EDA using Pandas and Seaborn. Applied descriptive statistics to improve data storytelling and developed visualizations to highlight key trends.
Invansys Technologies Pvt Ltd, India
Feb 2022 – Nov 2022Participated in full-stack development tasks with a focus on frontend enhancements. Conducted unit testing and assisted with bug tracking and resolution.
Vivekananda Institute of Professional Studies (GGSIPU), Delhi
Aug 2021 – Aug 2023Maharani College, Jaipur
2018 – 2021WorldQuant University, U.S. (Jul 2025 - Jan 2026)
Outskill (Oct 2025)
Scholar Hat (Sep 2025)
Certification (Jul 2025)
WorldQuant University, U.S. (Jan 2025 - Jun 2025)
NASSCOM (Aug 2024)
Simplilearn (Jul 2024)
Skill Nation (Apr 2024)
NPTEL (Jun 2023)
I am actively seeking professional opportunities in Data Science and AI. Feel free to reach out for collaborations or inquiries!