Trishita Acharjee

Software Engineer

Bengaluru, India 0+ yrs exp 81 · Excellent

About

Software engineer with hands-on experience building AI agents on large language models, integrating REST APIs across multi-cloud environments, and designing secure, reliable systems. Delivered a multi-tool AI assistant with live tool orchestration, a natural-language database interface with built-in injection-attack prevention, and a cross-cloud infrastructure diagnostic tool — alongside two internships resolving production-level API and data issues. Strong foundation in Python, OOP, SQL, and cloud platforms (AWS, Azure, GCP).

Skills & Expertise (27)

Python Intermediate

6.5/10

Years Exp

NumPy Intermediate

6.0/10

Years Exp

Pandas Intermediate

6.0/10

Years Exp

scikit-learn Intermediate

6.0/10

Years Exp

Excel Intermediate

5.5/10

Years Exp

SQL Intermediate

5.5/10

Years Exp

Root-cause analysis Intermediate

5.0/10

Years Exp

REST API design Intermediate

5.0/10

Years Exp

Postman Intermediate

5.0/10

Years Exp

SDLC Intermediate

4.5/10

Years Exp

Agile Intermediate

4.5/10

Years Exp

Technical Documentation Intermediate

4.5/10

Years Exp

Software Testing Intermediate

4.5/10

Years Exp

Code Review Intermediate

4.5/10

Years Exp

GitHub Beginner

4.5/10

Years Exp

Workflow Automation Intermediate

4.5/10

Years Exp

SQLite Beginner

4.5/10

Years Exp

Git Beginner

4.5/10

Years Exp

Oracle SQL Beginner

4.5/10

Years Exp

Authentication Intermediate

4.5/10

Years Exp

MongoDb Beginner

4.0/10

Years Exp

GCP Beginner

4.0/10

Years Exp

Microsoft Azure Beginner

4.0/10

Years Exp

AWS Beginner

4.0/10

Years Exp

JavaScript Beginner

3.5/10

Years Exp

Java Beginner

3.5/10

Years Exp

Hugging Face Transformers Beginner

2.5/10

Work Experience

Software Engineering Intern

Caze Labs

Oct 2025 - Jan 2026

Built Cloud CostSense, a Python OOP-based diagnostic tool comparing infrastructure pricing and reliability signals across AWS, Azure, and GCP. Integrated and troubleshot multiple third-party REST APIs, resolving authentication failures, rate-limit errors, and inconsistent response schemas. Followed structured development practices including version control (Git), peer code review, and software testing. Documented technical findings and generated reports used by stakeholders for pre-deployment decisions.

Data Analytics Intern

Majestic Infotech Solutions

May 2024 - Oct 2024

Built a loan prediction model using Python and Scikit-Learn, diagnosing and resolving data quality issues during preprocessing. Improved model accuracy by 15% through iterative testing, debugging, and hyperparameter tuning. Delivered clear analytical reports and documentation to non-technical stakeholders, supporting data-driven decisions.