Shreehitha Arushan

Software Engineer

Kanpur, India 2+ yrs exp 85 · Excellent

About

B.Tech graduate, IIT Kanpur with professional experience in software development & AI engineering at Outlier AI & Handshake AI. Proficient in full-stack development using Python, Django, Flask, Node.js, SQL, and REST APIs. Built 12 end-to-end production ready applications including financial dashboards, AI-integrated tools, and real-time data platforms.

Skills & Expertise (33)

Gen AI Advanced

8.5/10

Years Exp

agentic AI Advanced

8.5/10

Years Exp

Python Advanced

8.1/10

Years Exp

React Advanced

8.1/10

Years Exp

Kubernetes Advanced

8.0/10

Years Exp

Docker Advanced

8.0/10

Years Exp

REST APIs Advanced

8.0/10

Years Exp

GitHub Advanced

8.0/10

Years Exp

CatBoost Advanced

8.0/10

Years Exp

AWS Advanced

8.0/10

Years Exp

LightGBM Advanced

8.0/10

Years Exp

Node.js Advanced

8.0/10

Years Exp

JavaScript Intermediate

7.5/10

Years Exp

Next.js Intermediate

7.5/10

Years Exp

Django Intermediate

7.5/10

Years Exp

React Native Intermediate

7.5/10

Years Exp

Typescript Intermediate

7.5/10

Years Exp

Postgresql Intermediate

7.0/10

Years Exp

HTML Intermediate

7.0/10

Years Exp

CSS Intermediate

7.0/10

Years Exp

SQL Intermediate

7.0/10

Years Exp

MySql Intermediate

7.0/10

Years Exp

MongoDb Intermediate

7.0/10

Years Exp

Flask Intermediate

7.0/10

Years Exp

bootstrap Intermediate

7.0/10

Years Exp

Streamlit Intermediate

7.0/10

Years Exp

Kafka Intermediate

6.5/10

Years Exp

SQLite Intermediate

6.5/10

Years Exp

Spring Boot Intermediate

6.5/10

Years Exp

Java Intermediate

6.5/10

Years Exp

C++ Intermediate

6.5/10

Years Exp

OCI Intermediate

6.0/10

Years Exp

swift Intermediate

6.0/10

Years Exp

Work Experience

Software Engineer

Handshake AI

May 2026 - Present

Built an XGBoost surrogate model with a leverage-based applicability-domain framework to detect out-of-distribution inputs, improving prediction reliability for an LLM-assisted regression pipeline. Engineered a Gaussian copula-based feature dependency model to quantify prediction confidence, enabling automated flagging of low-trust predictions in an AI-driven deployment workflow.

AI Prompt Engineer, Coder & LLM Trainer

Outlier AI

May 2023 - Aug 2025

Authored 100+ high-difficulty programming problems across Python, Go, and Java on Project Spider Web, targeting real-world LLM failure patterns to improve fine-tuning data quality for state-of-the-art language models. Reviewed and validated 500+ code-based benchmark submissions as Senior Reviewer, enforcing correctness and evaluation consistency across the training data pipeline.