Sharayu Choudhari

AI Researcher

Nagpur, Maharashtra, India4 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building production-ready GenAI systems.
Proven track record in automating data processes.
Award-winning researcher in traffic sign detection.

Stackforce AI infers this person is a Backend-heavy AI Engineer with expertise in automation and data science.

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Skills

Core Skills

Artificial Intelligence (ai)Natural Language Processing (nlp)Data ScienceAutomationComputer Vision

Other Skills

Adobe IllustratorAnalytical SkillsAttention to DetailAutomated EmailerBig Data AnalyticsCNNCUDACausal InferenceChatGPTClassification ModelCommunicationComputer ScienceCritical ThinkingDashboardsData Analysis

About

I build and deploy GenAI systems that actually work in production - not demos. My work focuses on: • Designing end-to-end GenAI APIs (RAG, scoring, evaluation) • Handling failure modes: hallucinations, cost spikes, latency • Guardrails, monitoring, and user-data protection • Scaling from POC → production systems used by real users I’ve worked on: • RAG pipelines with structured + unstructured data • Automated interview and scoring systems • Prompt + system design aligned with business outcomes • Backend-heavy GenAI systems (Python, FastAPI, MongoDB, cloud) I care deeply about: Reliability > novelty Ownership > experiments Shipping > talking

Experience

4 yrs 2 mos

Total Experience

1 yr 4 mos

Average Tenure

2 yrs 8 mos

Current Experience

Hyrgpt

AI Engineer

Oct 2023 – Present · 2 yrs 8 mos · Pune, Maharashtra, India · Remote

HYRGPT transforms your hiring game with lightning-speed candidate assessments, pinpoint accuracy, and significant cost savings.

Artificial Intelligence (AI)Natural Language Processing (NLP)

Enlyft

Data Scientist

Jun 2022 – Jun 2023 · 1 yr · Pune, Maharashtra, India

Developed an automated Emailer using Enlyft's data and ChatGPT 4 during a hackathon,
resulting in contextual email generation and have the system on the app. Won “Most Business Impact” title in an internal Hackathon.
Automated partner request process, reducing response time around 80%.
Migrated customer-facing and internal models to efficient PySpark scripts, optimizing data
preparation reducing time required by 70%.
Created automated scripts for generating decks, streamlining response time to non-regular
requests.
Contributed to the development of a classification model for the Cloud Adoption Model

Automated EmailerChatGPTPySparkClassification ModelData PreparationData Science+1

Fightright technologies

Data Science Intern

Dec 2021 – Jun 2022 · 6 mos · Kolkata, West Bengal, India · Remote

Developed robust Selenium-based data scrappers for JavaScript websites, optimizing them
with multiprocessing in Python.
Worked on an NER Model for detecting judges, advocates, defendants, etc.
Created a dataset for NER, a major application of Natural Language Processing (NLP).
Designed Python and Regex scripts for cleaning textual data as preprocessing.
Gained experience in manual data preparation for large datasets.

SeleniumPythonNatural Language Processing (NLP)Data Science

Shri ramdeobaba college of engineering and management

Research Intern

Aug 2020 – Feb 2021 · 6 mos · Nagpur, Maharashtra, India · On-site

Conducted research on ”Detection and Classification of Traffic Signs for Driverless Cars”
Trained YOLOv3 for traffic sign localisation and custom CNN model using Keras for classification of traffic signs
into 43 classes
Received Best Paper Award in IT section at the ”3rd International Conference on Electronic Systems, Signal
Processing and Computing Technologies ICESC-2020”
Published research paper in the BBRC Journal

YOLOv3KerasCNNComputer VisionArtificial Intelligence (AI)