SAHIL SAINI

Software Engineer

Bengaluru, Karnataka, India1 yr 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Top 5% ranking on Leetcode.
Experience in automating server diagnostics.
Developed multiple machine learning projects.

Stackforce AI infers this person is a Software Engineer with expertise in SaaS and machine learning.

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Skills

Core Skills

Machine LearningNatural Language Processing (nlp)Data AnalysisAutomation

Other Skills

Python (Programming Language)Large Language Models (LLM)SQLBackendDeep LearningData ScienceVector DatabasesRAGBERT (Language Model)Prompt EngineeringCommunicationLinuxData StructuresDatabase Management System (DBMS)Operating Systems

About

I recently graduated with a B.Tech in Computer Science from IIIT Jabalpur, where I developed a strong foundation in software development, machine learning, and data analysis. I was a Technical Intern at Rakuten India, where I’ve worked on automating server diagnostics using advanced LLMs and deploying models on GCP. My previous experience as a Business Analyst Intern at Abner Security involved automating data retrieval processes, which reduced manual efforts and improved efficiency. I’ve also built projects like a movie recommendation system and a loan eligibility predictor, further refining my skills in Python, Flask, and machine learning. With a top 5% ranking on Leetcode and active participation on Kaggle, I’m passionate about solving complex problems and continuously improving my technical expertise. I’m eager to contribute to innovative projects and grow in the tech industry.

Experience

1 yr 6 mos

Total Experience

1 yr 3 mos

Average Tenure

3 mos

Current Experience

Amazon

SDE-1

Feb 2026 – Present · 3 mos · Bengaluru South, Karnataka, India · On-site

Infrrd

Software Engineer

Nov 2024 – Feb 2026 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Rakuten india

Technical Intern

Feb 2024 – Aug 2024 · 6 mos · Bengaluru, Karnataka, India · On-site

Developed a server diagnosis script that reduced system admin workload by detecting and classifying errors to root causes using a BERT-based LLM (7B parameters) for error detection.
Processed and standardized logs from 50+ servers with varying OS configurations, including Rocky Linux and CentOS,
Annotating around 5000 logs for supervised classification.
Implemented a log summarization layer using the LLaMA 8B model to condense error logs for improved analysis.
Deployed the summarization model on a GCP VM instance with an H100 GPU to meet computational requirements.

Python (Programming Language)Large Language Models (LLM)Machine LearningNatural Language Processing (NLP)

Abnersecurity

Business Analyst Intern

Jan 2024 – Feb 2024 · 1 mo · Remote

Automated data scraping tasks from 3+ sources using Selenium and API calls, reducing workload by 30-40%.
Developed scripts capable of retrieving over 5000 data entries within seconds.
Integrated scripts with Google Sheets API to automatically append data, ensuring real-time availability for employees.

Python (Programming Language)SQLData AnalysisAutomation