Deepankar Singh

AI Researcher

Gurugram, Haryana, India9 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

9+ years of experience in AI and ML.
Expertise in NLP, LLMs, and Computer Vision.
Proven track record in developing scalable AI solutions.

Stackforce AI infers this person is a Fintech and SaaS expert specializing in AI-driven solutions.

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Skills

Core Skills

Software EngineeringAi DevelopmentData Engineering

Other Skills

AWSAlgorithmsAmazon Web Services (AWS)Apache SparkArtificial Intelligence (AI)BERT (Language Model)Chat Application DevelopmentChatbot DevelopmentClassificationComputer VisionConvolutional Neural Networks (CNN)Data AugmentationData CleaningData ManipulationData Science

About

AI & ML Expert | NLP | LLMs | Computer Vision | Scalable AI Solutions With 9+ years of hands-on experience in developing, fine-tuning, and deploying cutting-edge Machine Learning (ML) and Deep Learning (DL) models, I specialize in transforming data into scalable, real-world AI solutions that drive business impact. 🔹 Expertise in NLP, LLMs & Computer Vision – Skilled in BERT, Sentence Transformers, YOLOv5, and more, solving complex challenges in text and image processing. 🔹 Proficient in ML & DL Frameworks – Hands-on with XGBoost, TensorFlow, PyTorch, optimizing models for accuracy and efficiency. 🔹 Building Production-Grade AI – Designing and deploying high-performance AI systems that enhance customer experiences, streamline operations, and boost revenue. 🔹 Data-Driven Decision Making – Leveraging AI to create data-backed solutions that improve business strategies and operational efficiencies. Passionate about pushing the boundaries of AI, I thrive on solving complex problems with innovative approaches. Let's connect and build the future of AI together!

Experience

9 yrs 9 mos

Total Experience

3 yrs 3 mos

Average Tenure

4 yrs 10 mos

Current Experience

Policybazaar.com

Senior Data Scientist

Aug 2021 – Present · 4 yrs 10 mos · Gurugram, Haryana, India

Wingify

Data Science Intern

Apr 2021 – May 2021 · 1 mo · Delhi, India

Diginex gmbh

Software Engineer

Nov 2019 – Jun 2020 · 7 mos · Berlin, Germany

Working on a Python backend project for a trading hub which provides a platform for trading in spot and futures with cryptocurrency.
Technologies involved: Python, Postgres, Redis, Docker

PythonPostgresRedisDockerSoftware Engineering

Policybazaar.com

2 roles

Senior Software Developer

Promoted

Apr 2017 – Nov 2019 · 2 yrs 7 mos · Gurgaon, India · On-site

> In-House Chat Application Development and Optimization:
Led a team of 3 developers and a designer to replace a third-party chat module with an in-house chat application, achieving 10k+ daily conversations and 500+ concurrent customer conversations.
Improved sales agent performance
Improved customer satisfaction by delivering high-quality chat applications
> Chatbot using Dialogflow and Rule Engine:
Develop a chatbot framework with an event emitter-listener system using Dialogflow and Rule Engine.
Reduced new chatbot flow development significantly by creating a no-code chatbot flow framework.
Identified customer intents and key data points by configuring Dialogflow intent and
entities.
Increased concurrent chats handled by agents by 30%.
40% of all active conversations are handled by the bot, providing sales agents to handle multiple agents.
> Real-time Voice bot for Inbound Service calls and Customer Queries:
Developed a real-time voice bot for a customer query resolution system during inbound calls.
Delivered an efficient and effective solution by integrating Asterisk dialer, speech-to-text model (ASR), Dialogflow, and AWS Polly.
Automated resolution of customer queries

Chat Application DevelopmentDialogflowAWSVoice BotAI Development

Technical Associate

Jun 2015 – Mar 2017 · 1 yr 9 mos · Gurgaon, India · On-site

> Lead Allocation Framework for Customer Lead and Executive Ranking:
Increase sales conversion by developing customer and executive ranking systems based on the business logic in MS-SQL.
Reduced new logic implementation time by developing a configurable framework.
Optimized the ranking process, SQL queries and procedures to bring down the processing time from 8min to 30sec.

MS-SQLSQL OptimizationLead Allocation FrameworkData Engineering