cv
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Basics
Name | Himanshu Singhal |
Label | Data Science & AI Student |
himanshu.hs918@gmail.com | |
Phone | +91-7982839139 |
Url | https://himanshu-skid19.github.io/ |
Summary | B.Tech student in Data Science and Artificial Intelligence at IIT Guwahati with expertise in ML/AI, computer vision, and NLP. Research experience at Adobe Research and Arizona State University. Passionate about bridging research and real-world applications. |
Work
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2025.05 - 2025.08 Bangalore, India
Summer Intern
Adobe Research
Working on enterprise-branded asset generation using precise trademark colors with Diffusion Transformers. Developed plug-and-play mapper for hex code to embedding translation enabling precise colorisation through prompts.
- Improved generated color accuracy by 64% over baseline methods
- Created self-curated 1200 prompt benchmark for evaluation
- Documented and submitted patent application for mapper architecture
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2025.02 - Present Remote
Research Intern
Arizona State University - CORAL Lab
Working on SQL generation for queries requiring multiple tables without using LLMs for table selection. Developing end-to-end SQL generation pipeline leveraging inter-table join relationships.
- Achieved 2% accuracy improvements over LLM-based pruning baselines
- Evaluated on 3 datasets: Bird, Spider, and MMQA
- Developed intelligent table selection and pruning without LLMs
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2024.02 - 2024.04 Remote
Software Intern
DevRev Cloud India Private Limited
Developed customizable NPS survey snap-in for developer organizations with automated survey distribution system. Built real-time survey update mechanisms and interval-based email dispatch system.
- Deployed system serving more than 1000 users
- Improved feedback collection efficiency through automation
- Utilized React, ReactEmail, hooks, and cron jobs for seamless user experience
Education
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2022.10 - Present Guwahati, India
Bachelor of Technology
Indian Institute of Technology Guwahati
Data Science and Artificial Intelligence
- Data Structures and Algorithms
- Database Management Systems
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
- Big Data Analytics
- Linear Algebra
- Statistical Foundations of Data Science
Awards
- 2024.01.01
Inter IIT Tech Meet 13.0 - Rank 4
Inter IIT Tech Meet
Secured Rank 4 among all 23 IITs in ML/AI Problem Statement by Pathway
- 2024.01.01
Encode IITG - First Position
IIT Guwahati
Team secured first position out of 2342 participants at ML hackathon across India
- 2024.01.01
Amazon ML Summer School
Amazon
Selected to attend ML lectures from more than 20,000 students in India
Skills
Programming | |
Python | |
C++ | |
C | |
JavaScript | |
TypeScript | |
R |
Machine Learning & AI | |
PyTorch | |
TensorFlow | |
NumPy | |
Pandas | |
LangChain | |
LangGraph | |
LlamaIndex |
Database Management | |
MySQL | |
Hadoop | |
Spark | |
Kafka |
Tools & Technologies | |
Git | |
Shell | |
LaTeX | |
Docker |
Languages
English | |
Fluent |
Hindi | |
Native speaker |
Interests
Artificial Intelligence | |
Computer Vision | |
Natural Language Processing | |
Multimodal AI | |
Diffusion Models | |
Large Language Models |
Research | |
SQL Generation | |
Enterprise AI Systems | |
Retrieval-Augmented Generation | |
Legal AI |
Volunteer
-
2024.01 - 2025.01 IIT Guwahati
Secretary
IITG.ai
Overall leadership of the AI Club of IIT Guwahati and its activities, promoting AI culture on campus through recruitment drives, hackathons, intensive AI/ML workshops and research paper discussions.
Projects
- 2024.10 - 2024.12
Agentic RAG Chatbot for LegalQA
Solved the problem of unreliable legal RAG systems that hallucinate and retrieve inaccurate information in real-time. Implemented parallel DAG-based task planning and scheduling by modifying LLMCompiler for RAG.
- Achieved 86% accuracy on CUAD dataset (contract law)
- Achieved 84% accuracy on AILA dataset (case law)
- Incorporated Pathway's vector store for real-time data processing
- 2023.10 - 2023.12
Adobe Behaviour Simulation Challenge
Leveraged classic ML Models, Transformers, and LLMs for behaviour simulation and content simulation on tweets. Trained DistilBERT classifier for tweet bucketing followed by separate bucket regressors.
- Achieved bucket classification accuracy of 74.3%
- BLEU-1 score of 0.13 with inference times 0.9s and 5.4s
- Generated media descriptions using BLIP-2 and finetuned Llama-2
- 2023.10 - 2023.12
DevRev's AI Agent 007
Engineered conversational LLM chatbot with dynamic tool selection capabilities for intelligent query resolution. Implemented pipeline integrating Retrieval-ICL, Chain-of-Thought prompting, and RAG.
- Sub-10-second query latency
- Cost efficiency under $0.02 per query
- Dynamic tool selection and sequencing capabilities