Sanskar Gupta

Software Engineer

Hyderabad, Telangana, India3 yrs 8 mos experience

Highly StableAI Enabled

Key Highlights

Expert in AI/ML with a focus on Generative AI.
Proven track record of reducing system latency.
Strong foundation in data structures and algorithms.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI/ML technologies.

Contact

Skills

Core Skills

Natural Language Processing (nlp)Machine LearningSoftware Development

Other Skills

AI AgentsAI agent frameworkAlgorithmsC (Programming Language)C++DartData StructuresDatabase Management System (DBMS)FAISSFew-shot modelsFlutterGenerative AILRU CacheLangChainLangGraph

About

Results-driven Software Engineer with over 3.4 years of experience specializing in AI/ML technologies, particularly in Generative AI, LLMs, and NLP. Demonstrated expertise in developing and optimizing AI agent frameworks, implementing RAG architecture, and building scalable NLP solutions. Proficient in Python, C++, and various cloud technologies with a strong foundation in data structures and algorithms. Recognized as a top performer with a track record of reducing system latency and enhancing application performance.

Experience

Teradata

Senior Agentic AI Engineer

Sep 2025 – Present · 6 mos · Hyderabad, Telangana, India · Hybrid

Kore.ai

2 roles

Software Engineer

Promoted

Jan 2024 – Sep 2025 · 1 yr 8 mos · Hyderabad, Telangana, India · On-site

◦ Developed sophisticated AI agent framework using LangGraph with multi-agent orchestration,
enabling seamless complex task execution through coordinated automated systems.
◦ Designed FAISS-based RAG indexing systems for chatbot applications across healthcare, airline, and
ecommerce sectors, reducing chatbot development time by 70% through zero-shot intent identification.
◦ Developed dynamic GenAI routing systems for OpenAI, Anthropic, and Gemini models, achieving 35%
improvement in booking task accuracy through contextual slot filling.
◦ Managed technical support for 100+ enterprise clients and Optimized lemmatizer service by implementing LRU Cache, reducing inference time from 12s to 100ms during peak periods.

LangGraphFAISSRAGAI agent frameworkchatbot applicationscontextual slot filling+4

Associate Software Engineer

Jun 2022 – Dec 2023 · 1 yr 6 mos · Hyderabad, Telangana, India · On-site

1- Developed a scalable synonym processing engine, leveraging graph data structures to efficiently handle nested synonyms. Implemented precomputation at training time, significantly optimizing lookup performance and reducing runtime complexity.
2- Integrated Redis Pub/Sub into the training pipeline, enabling real-time request synchronization across distributed systems. Improved system efficiency by ensuring seamless communication between components and reducing latency.
3- Implemented Few-shot and Zero-shot models for embedding generation, enhancing NLP capabilities by enabling better generalization to unseen data with minimal training examples. Improved model adaptability for tasks like intent recognition and entity extraction.

graph data structuresRedis Pub/SubFew-shot modelsZero-shot modelsNatural Language Processing (NLP)

Cogoport

Associate Software Engineer

Jan 2022 – Jun 2022 · 5 mos · Mumbai, Maharashtra, India · On-site

◦ Developed the Campaign Engine for the Cogoport App, designing and implementing key functionalities.
◦ Managed backend development within a squad of four, performing CRUD operations using Ruby on Rails
to ensure smooth application functionality

Ruby on RailsSoftware Development

Direction educare

Software Application Developer

Jun 2021 – Jul 2021 · 1 mo · India

Developed an Online School Application
I have developed an Authentication based Online School
application and Managed Backend With Firestore
It includes various features such as Manage Institute, Manage Teachers ,Manage Students, Classes, Attendance, Conduct Exams ,Doubt Solving, Share Notes, Access Study
Material, etc.