Safal Singh profile photo 1 on Tal

Safal Singh

Incoming @Juspay | Amazon MLSS’26 | Specialist in Codeforces | 3 star in Codechef | Global Rank 1192 Meta Hacker Cup | Amazon AWS AI/ML Scholar | 3x Hackathon Winner | Gen AI | ML

Greater Delhi Area

< 1 year of work experience

Amazon ML Summer School
Jul 20264 mosPresent

Remote

-Selected as one of ~3,000 participants from over 150,000+ applicants nationwide based on performance in a competitive technical screening test (covering DSA, Linear Algebra, Calculus, and Probability). -Participated in an intensive, multi-week machine learning program delivered by senior Amazon ML Scientists. -Gained advanced theoretical and practical insights into core AI/ML sub-domains, including Deep Neural Networks, Probabilistic Graphical Models, Unsupervised Learning, and Sequential Models.
Synthica
Jul 20262 mosAug 2026

- Developing I-CRAG, an iterative Retrieval-Augmented Generation (RAG) framework to improve retrieval quality and factual accuracy. – Evaluating the framework against RAG and CRAG using standard knowledge-intensive benchmarks
Infosys
Nov 20244 mosFeb 2025

-Collaborated in a team of 5 to design and develop an AI-powered contract analysis tool using Python, Streamlit, and vector similarity search, enabling automated extraction and analysis of legal contract clauses. – Processed and analyzed over 1,000 legal documents, reducing manual review time by 70% and improving compliance accuracy. – Proposed batch processing, PDF/TXT ingestion, and automatic report generation, resulting in a 50% increase in document throughput for legal research teams.

Safal’s AI Stack

antigravity
antigravity
claude code
claude code
langchain
langchain
langsmith
langsmith
llmapi
llmapi
Pinecone
Pinecone

Education

National Institute of Technology, Kurukshetra, Haryana

Bachelor of Technology - BTech, Information Technology

National Institute of Technology, Kurukshetra, Haryana

20234 yrs2027

CBSE, Class XII

Asian public school

20221 yr2023

Join Safal and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Safal Singh on Tal

Headline

Incoming @Juspay | Amazon MLSS’26 | Specialist in Codeforces | 3 star in Codechef | Global Rank 1192 Meta Hacker Cup | Amazon AWS AI/ML Scholar | 3x Hackathon Winner | Gen AI | ML

About

I'm Safal Singh, a B.Tech student in Information Technology at NIT Kurukshetra and an AI/ML enthusiast. Winner of DevClash Hackathon(2024) Winner of InsightMed Hack hackathon(2024) Winner of Americal Allegiance of students Hackathon(2024) Final round qualifier of VultrXGFG cloud innovate hackathon(2024)

Location

Greater Delhi Area

AI stack

antigravity

claude code

langchain

langsmith

llmapi

Pinecone

Work experience

Scholar at Amazon ML Summer School, Jul 2026 - Present · 4 mos, Remote, -Selected as one of ~3,000 participants from over 150,000+ applicants nationwide based on performance in a competitive technical screening test (covering DSA, Linear Algebra, Calculus, and Probability). -Participated in an intensive, multi-week machine learning program delivered by senior Amazon ML Scientists. -Gained advanced theoretical and practical insights into core AI/ML sub-domains, including Deep Neural Networks, Probabilistic Graphical Models, Unsupervised Learning, and Sequential Models.

AI Research Fellow – SISTER Program (Dubai CS Society x Delta Rising) at Synthica, Jul 2026 - Aug 2026 · 2 mos, - Developing I-CRAG, an iterative Retrieval-Augmented Generation (RAG) framework to improve retrieval quality and factual accuracy. – Evaluating the framework against RAG and CRAG using standard knowledge-intensive benchmarks

AI/ML Intern at Infosys, Nov 2024 - Feb 2025 · 4 mos, -Collaborated in a team of 5 to design and develop an AI-powered contract analysis tool using Python, Streamlit, and vector similarity search, enabling automated extraction and analysis of legal contract clauses. – Processed and analyzed over 1,000 legal documents, reducing manual review time by 70% and improving compliance accuracy. – Proposed batch processing, PDF/TXT ingestion, and automatic report generation, resulting in a 50% increase in document throughput for legal research teams.

Education

Bachelor of Technology - BTech, Information Technology, National Institute of Technology, Kurukshetra, Haryana

CBSE, Class XII, Asian public school

Safal Singh - Scholar in Greater Delhi Area | Tal