AI Engineer with less than a year in LLM Development & Python
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Assessing your cultural and operational fit
Final-year B.Tech Computer Science (AI & ML) student with hands-on experience building Al-driven systems, validating model outputs, and contributing to open-source language model development. Proficient in Python, machine learning pipelines, and software testing methodologies. Passionate about applying software engineering to large-scale scientific computing challenges, with strong analytical, debugging, and problem-solving skills developed through real-world projects and internship experience.
TKR College of Engineering and Technology
B.Tech · Computer Science (AI & Machine Learning)
August 1, 2022 – June 30, 2026
Viswam.ai
AI Software Engineering Intern
August 1, 2025 – September 1, 2025
Hyderābād, Telangana, India
FinArtha AI Finance Assistant
September 1, 2025 – June 1, 2026
Building an end-to-end AI-powered personal finance platform; delivered Phase 1 MVP featuring transaction ingestion, financial data parsing, and AI-driven insight generation. Designed structured manual test plans for financial logic workflows to ensure correctness and robustness of monetary computations. Architecting Phase 2 to include automated transactional analysis and real-time data pipelines, applying software engineering principles to a real-user product.
Druk e-Residency System
July 1, 2025 – July 1, 2025
Architected a blockchain-backed digital identity system for Bhutan featuring decentralised ID generation, secure data handling, and a carbon tracking module demonstrating multi-domain system design ability. Performed functional validation and system-level integration testing to verify secure and tamper-resistant data flows. Documented architecture decisions and test coverage reports, following software engineering best practices.
Python Programming Certification
HackerRank
October 1, 2025 – Present
Cultural Fit Analysis
The candidate's interest in open-source software, scientific computing, blockchain, and entrepreneurship aligns well with an innovative and growth-oriented culture. Their diverse project experience, including a blockchain-backed identity system and an AI finance assistant, indicates a broad technical curiosity and ability to apply skills across different domains. The internship experience in LLM development further strengthens their alignment with an AI-focused role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, technical documentation skills, and cross-functional collaboration, as evidenced by project descriptions and internship experience. Their involvement in agile workflows and open-source contributions suggests a good operational fit for team-oriented development environments.