Headline

Specialist Programmer L2 @ Infosys | IIITA’24 | Backend • GenAI(Agentic, LLMs, RAG) • AWS & Azure • ML • Data Engineering | Amazon MLSS23 | Specialist @Codeforces | Knight @Leetcode

About

Hey there, I'm Amogh, a 2024 B.Tech graduate from IIIT Allahabad, Leetcode Knight, Codeforces Specialist, and Amazon ML Summer School’23 participant. I actively participate in competitive programming and ranked in the top 1.8% on LeetCode, with 1000+ solved DSA problems. I also secured Global Rank 1515 on Codeforces. I work as a Specialist Programmer - L2 at Infosys (working with Apple client). I am working on GenAI domain projects with Apple, currently building SDLC (Software Development Life Cycle) automation. Built a receipt extraction & translation app, with robust data pipelines and Tableau dashboard for insights to improve Apple’s internal ticketing system. Developed Agentic systems internally at Infosys for BRE documentation generation from cobol-code repo to pseudo code; Legal risk assessment agentic workflow using Google ADK I bring 2+ years of experience across Generative AI, Agentic AI, and Data Engineering, with hands-on expertise in Python, RAG, LLMs, GenAI, LlamaIndex, LangGraph, LangChain, MongoDB, Hadoop, and PySpark. Let’s connect if you’d like to collaborate or have an opportunity that aligns! Feel free to reach out! 📩amogh18t@gmail.com

Location

Bengaluru

AI stack

antigravity

claude code

hugging face

mcp

Google ADK

Qdrant

Work experience

Specialist Programmer - L2 at Infosys, Jul 2024 - Present · 2 yrs 2 mos, Bengaluru, Karnataka, India, 𝐀𝐩𝐩𝐥𝐞 𝐂𝐥𝐢𝐞𝐧𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐞𝐝 𝐃𝐚𝐭𝐚 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐟𝐨𝐫 𝐏𝐈𝐈/𝐏𝐇𝐈/𝐏𝐂𝐈 𝐫𝐞𝐝𝐚𝐜𝐭𝐢𝐨𝐧, 𝐥𝐞𝐝 𝐚 𝐆𝐞𝐧𝐀𝐈 𝐫𝐞𝐜𝐞𝐢𝐩𝐭 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐝𝐨𝐩𝐭𝐞𝐝 𝐚𝐜𝐫𝐨𝐬𝐬 5+ 𝐭𝐞𝐚𝐦𝐬, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐭 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐟𝐨𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐑𝐮𝐥𝐞𝐬 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 (𝐁𝐑𝐄) 𝐚𝐧𝐝 𝐥𝐞𝐠𝐚𝐥 𝐫𝐢𝐬𝐤 𝐚𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭. • 𝐃𝐚𝐭𝐚 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: Engineered secure PII/PHI/PCI data processing using regex and ML algorithms deployed via Triton inference servers. Architected a decoupled entity validation framework using the Strategy design pattern, scaling to new locales and reducing false positives by over 40% (e.g., utilizing Verhoeff and Luhn checks). • 𝐆𝐞𝐧𝐀𝐈 𝐫𝐞𝐜𝐞𝐢𝐩𝐭 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧: Led production LLM adoption for an internal ticketing tool, resolving complex challenges like overlaid text and inconsistent orientation. Automated Apple's policy adherence reviews by utilizing LLMs to generate a custom 13-point compliance score. • 𝐋𝐋𝐌 𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤𝐢𝐧𝐠 & 𝐓𝐮𝐧𝐢𝐧𝐠: Evaluated embedding models using RAGAS, selecting a model that yielded a 31% accuracy improvement. Implemented a critic feedback loop and data annotation processes to fine-tune models and enhance translation quality. • 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐞𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 & 𝐈𝐧𝐟𝐫𝐚 on Apple’s Spark and Hive ecosystems, building Tableau dashboards for analytics. Managed CI/CD build images and deployment workflows, and executed database migrations to Conductor (Apple’s cloud alternative). • 𝐃𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐚 𝐋𝐞𝐠𝐚𝐥 𝐑𝐢𝐬𝐤 𝐀𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭 𝐀𝐠𝐞𝐧𝐭 using Google ADK & FastAPI that conducts adaptive legal questionnaires, classifies risk levels, and requests supporting documentation intelligently, reducing manual review effort by 60%.

Software Developer - AI Trainer at Outlier, Jan 2024 - Jul 2024 · 6 mo, San Francisco, California, United States, Trained and fine-tuned Large Language Models using RLHF for complex, real-world coding and reasoning tasks. Improved model accuracy and instruction-following through advanced prompt engineering & agent workflows.

Financial Research Analyst at Wall Street Oasis, Nov 2023 - Dec 2023 · 1 mo, Saratoga, California, United States

Trainee - Amazon ML Summer School at Amazon, Sep 2023 - Oct 2023 · 2 mos, Bengaluru, Karnataka, India

Education

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Indian Institute Of Information Technology allahabad

Public links

github: https://github.com/amogh18t

leetcode: https://leetcode.com/amoi_ty

codeforces: https://codeforces.com/profile/amoi_ty