A

Amogh Targe

AI Researcher

Bengaluru, Karnataka, India1 yr 10 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Ranked in top 1.8% on LeetCode with 1000+ solved problems.
  • Built innovative GenAI projects for Apple, enhancing internal systems.
  • Participated in Amazon ML Summer School, gaining practical ML insights.
Stackforce AI infers this person is a SaaS-focused Machine Learning Engineer with expertise in Generative AI.

Contact

LinkedIn

Skills

Core Skills

Machine LearningLarge Language Models (llm)Data Analysis

Other Skills

Azure Data FactoryAzure Data LakeAzure DatabricksAzure OpenAIC++Computer VisionDeep LearningGoogle ADKGoogle Cloud Platform (GCP)HadoopLlamaIndexMicrosoft AzureMicrosoft Azure Machine LearningPrompt EngineeringPySpark

About

Hey there, I'm Amogh, a 2024 B.Tech graduate from IIIT Allahabad, Leetcode Knight, Codeforces Specialist, and Amazon ML Summer Schoolโ€™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 Appleโ€™s internal ticketing system (BullWinkle Issues). 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 1+ years of experience across Generative AI, Agentic AI, and Data Engineering, with hands-on expertise in LlamaIndex, LangGraph, LangChain, MongoDB, Hadoop, and PySpark. Letโ€™s connect if youโ€™d like to collaborate or have an opportunity that aligns! Feel free to reach out! ๐Ÿ“ฉamogh18t@gmail.com

Experience

Infosys

Specialist Programmer - L2

Jul 2024 โ€“ Present ยท 1 yr 8 mos ยท Bengaluru, Karnataka, India ยท Hybrid

  • Apple Client**
  • ๐ƒ๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ฆ๐ž๐ง๐ญ ๐จ๐Ÿ ๐š ๐ซ๐ž๐œ๐ž๐ข๐ฉ๐ญ ๐ž๐ฑ๐ญ๐ซ๐š๐œ๐ญ๐ข๐จ๐ง & ๐ญ๐ซ๐š๐ง๐ฌ๐ฅ๐š๐ญ๐ข๐จ๐ง ๐š๐ฉ๐ฉ ๐ฐ๐ข๐ญ๐ก ๐ฉ๐ซ๐จ๐๐ฎ๐œ๐ญ๐ข๐จ๐ง ๐‹๐‹๐Œ ๐š๐๐จ๐ฉ๐ญ๐ข๐จ๐ง ๐š๐œ๐ซ๐จ๐ฌ๐ฌ ๐ฆ๐ฎ๐ฅ๐ญ๐ข๐ฉ๐ฅ๐ž ๐ข๐ง๐ญ๐ž๐ซ๐ง๐š๐ฅ ๐ญ๐ž๐š๐ฆ๐ฌ, ๐š๐œ๐ก๐ข๐ž๐ฏ๐ข๐ง๐  ๐ซ๐ž๐ฆ๐š๐ซ๐ค๐š๐›๐ฅ๐ž ๐›๐ž๐ง๐œ๐ก๐ฆ๐š๐ซ๐ค ๐ ๐š๐ข๐ง๐ฌ. ๐๐ฎ๐ข๐ฅ๐ญ ๐€๐ ๐ž๐ง๐ญ๐ข๐œ ๐ฌ๐ฒ๐ฌ๐ญ๐ž๐ฆ๐ฌ ๐ข๐ง๐ญ๐ž๐ซ๐ง๐š๐ฅ๐ฅ๐ฒ ๐š๐ญ ๐ˆ๐ง๐Ÿ๐จ๐ฌ๐ฒ๐ฌ ๐Ÿ๐จ๐ซ ๐๐‘๐„ ๐๐จ๐œ๐ฎ๐ฆ๐ž๐ง๐ญ๐š๐ญ๐ข๐จ๐ง ๐ ๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐จ๐ง ๐Ÿ๐ซ๐จ๐ฆ ๐œ๐จ๐›๐จ๐ฅ-๐œ๐จ๐๐ž ๐ซ๐ž๐ฉ๐จ ๐ญ๐จ ๐ฉ๐ฌ๐ž๐ฎ๐๐จ ๐œ๐จ๐๐ž; ๐‹๐ž๐ ๐š๐ฅ ๐ซ๐ข๐ฌ๐ค ๐š๐ฌ๐ฌ๐ž๐ฌ๐ฆ๐ž๐ง๐ญ ๐š๐ ๐ž๐ง๐ญ๐ข๐œ ๐ฐ๐จ๐ซ๐ค๐Ÿ๐ฅ๐จ๐ฐ ๐ฎ๐ฌ๐ข๐ง๐  ๐†๐จ๐จ๐ ๐ฅ๐ž ๐€๐ƒ๐Š
  • GenAI system for receipt extraction & translation on Appleโ€™s internal ticketing tool using LLMs; adopted in production. Enhancing quality & Appleโ€™s policy adherence by automating review processes using LLMs to generate a compliance score.
  • Benchmarked embedding models with RAGAS, using best model evaluated with 31% accuracy improvement; implemented critic feedback loop & annotation for translation quality improvement & fine-tune model.
  • Engineered scalable data pipelines on Appleโ€™s Shuri-Hue (Spark+Hive) & built Tableau dashboards for insights.
  • Created Documentation Generator App, to perform Business Rules Extraction (BRE) from source code repo, converting complex logic into structured pseudocode and functional documentation using LlamaIndex, Azure OpenAI. Agentic AI for context-aware workflow & parallel execution for fast response.
  • Designed a Legal Risk Assesment Agent using Google ADK that conducts adaptive legal questionnaires, classifies risk levels, and requests supporting documentation intelligently.
LlamaIndexMachine LearningPySparkAzure Data LakeShell ScriptingLarge Language Models (LLM)+6

Outlier

Software Developer - AI Trainer

May 2024 โ€“ Jan 2025 ยท 8 mos ยท San Francisco, California, United States ยท Remote

Data AnalysisDeep LearningMachine LearningPrompt EngineeringPython (Programming Language)SQL

Wall street oasis

Financial Research Analyst

Jan 2024 โ€“ Mar 2024 ยท 2 mos ยท Saratoga, California, United States ยท Remote

Amazon

Amazon ML Summer School

Sep 2023 โ€“ Oct 2023 ยท 1 mo ยท Bengaluru, Karnataka, India ยท Remote

  • Classical ML: Gained comprehensive insights into key ML topics, including deep neural networks, supervised learning, probabilistic graphical models, and unsupervised learning, Reinforcement Learning, Causal Inference, etc. through engaging modules delivered by Amazon Scientists.
  • Practical ML: Developed a strong foundation in essential ML technologies, combining theoretical knowledge with practical applications in real-world scenarios.
Python (Programming Language)Computer VisionData AnalysisDeep LearningMachine Learning

Education

Indian Institute Of Information Technology Allahabad

Bachelor of Technology - BTech

Jul 2020 โ€“ May 2024

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