Somya Jha

Software Engineer

Bengaluru, Karnataka, India10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Final year Computer Science undergrad with strong AI focus.
Experience building multi-agent AI systems at IBM.
Achieved 87% accuracy in machine learning research.

Stackforce AI infers this person is a Machine Learning and AI specialist with a focus on research and development.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningNatural Language Processing (nlp)

Other Skills

LangChainLangGraphAI systemsMilvusGated Recurrent Units (GRU)ClassificationTF-IDFWord2VecGloVeBERTConvolutional Neural Networks (CNN)Optical Character Recognition (OCR)CybersecuritySecurity AwarenessDigital Forensics

About

Hello there ! Myself Somya, I'm a final year computer science undergrad at National Institute of Technology Patna. A keen learner who is highly zealous for programming and learning new things. I'm having my involvements in problem solving (DSA) Web development and AI tools. Accomplishing my exploration in Data science , would love to look into the unfamiliar things. My fascination for numerous technology has exposed me as a competitor having an attention to explore affectionately.

Experience

10 mos

Total Experience

10 mos

Average Tenure

10 mos

Current Experience

Ibm

2 roles

SDE (Agentic AI Team)

Jul 2025 – Present · 10 mos · Bengaluru, Karnataka, India

Building multi-agent AI systems with LangChain & LangGraph to automate and optimize enterprise documentation.

LangChainLangGraphAI systemsArtificial Intelligence (AI)

Intern

Jan 2025 – Jul 2025 · 6 mos · Bengaluru, Karnataka, India

MilvusLang chain

National institute of technology , patna

2 roles

Summer Intern

May 2024 – Jun 2024 · 1 mo

• Led research on Multi-Author Identification using PAN23 dataset, achieving 87% model accuracy with DL.

Gated Recurrent Units (GRU)ClassificationMachine Learning

Project Lead

Jan 2024 – May 2024 · 4 mos

Machine Learning
Done classifications on texts and images.
Done various word embedding techniques like TF-IDF, Word2Vec, GloVe, BERT.
Executed thorough machine learning preprocessing for Hindi and Maithili language, elevating data quality and optimizing feature extraction for effective model development.

Gated Recurrent Units (GRU)Natural Language Processing (NLP)Machine Learning