Mohit V — Lead ML Engineer

🚀 Data Scientist | Machine Learning Engineer | NLP Engineer 🔹 AI Professional: Specializing in Large Language Models (LLMs), machine learning, and NLP with a proven track record of implementing AI-driven solutions for complex workflow automation. Experienced in developing advanced tools for text analysis, compliance monitoring, and data retrieval, driving significant improvements in processing times and model accuracy. 🔹 Technical Proficiency: Expertise in machine learning frameworks including PyTorch, TensorFlow, and Keras. Proficient in NLP, multi-label classification, LLM fine-tuning, RAG-based chatbots, and performance optimization using caching strategies. Skilled in deploying scalable APIs with FastAPI and optimizing system performance with Azure, Databricks, and cloud-based solutions. 🔹 Notable Projects: 🔹 Speech-to-Speech Translation: Developed models for real-time translation with advanced NLP techniques, enhancing communication accuracy by 25%. 🔹 Universal Multi-Label Classification: Engineered BERT-based models for real-time quality evaluations of customer support agents, tailored to client-specific - compliance and performance requirements. 🔹 RAG-Based Chatbot: Created chatbots for efficient data retrieval, converting natural language queries into SQL, improving internal data access workflows by 30%. 🔹 Tools & Technologies: Proficient in Python, PySpark, SQL, MySQL, Redis, Azure Databricks, LangChain, Groq, Docker, Kubernetes, Power BI, Tableau, FastAPI, and Streamlit. Strong skills in predictive modeling, statistical analysis, data visualization, and ML pipelines. 🔹 Domain Experience: Successfully applied AI solutions in the Edtech and Banking sectors, driving business outcomes through data-driven approaches. 🔹 Client Recognition: Acknowledged for delivering high-impact solutions, including receiving the "Star Performer" title for outstanding project contributions. 🔹 Continuous Learning & Collaboration: Committed to staying at the forefront of AI advancements and fostering cross-functional collaboration to achieve strategic goals. 🔹 Open to Opportunities: Passionate about exploring new challenges and contributing expertise to impactful projects and initiatives.

Stackforce AI infers this person is a Data Scientist specializing in AI-driven solutions for Edtech and Banking sectors.

Location: Delhi, India

Experience: 4 yrs 8 mos

Skills

Machine Learning
Natural Language Processing
Data Science

Career Highlights

Expert in NLP and Large Language Models.
Achieved 96% accuracy in spam classification.
Developed advanced AI solutions for Edtech and Banking.

Work Experience

Etech Global Services

Senior Machine Learning Engineer (2 yrs)

EG Allied Pvt. Ltd.

Machine Learning Engineer (1 mo)

Intellipaat

Data Science Trainer (1 yr 2 mos)

Doubtnut

Data Scientist (2 yrs 1 mo)

Data Scientist Associate (3 mos)

J.P. Morgan

Business Intelligence Intern (4 mos)

Education

Bachelor of Technology - BTech at KIIT - Kalinga Institute of Industrial Technology

High School Diploma at Rustamji Institute of Technology (RJIT) - BSF

Matriculation at Kendriya Vidyalaya

Master of Science - MS at Northwestern University

Mohit V

Lead ML Engineer

Delhi, India4 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in NLP and Large Language Models.
Achieved 96% accuracy in spam classification.
Developed advanced AI solutions for Edtech and Banking.

Stackforce AI infers this person is a Data Scientist specializing in AI-driven solutions for Edtech and Banking sectors.

Contact

mohit.verma@etechtexas.com LinkedIn

Skills

Core Skills

Machine LearningNatural Language ProcessingData Science

Other Skills

Analytical SkillsApache KafkaApache PigApache SparkArtificial Intelligence (AI)Audio RecordingBig DataBusiness AnalysisBusiness Intelligence (BI)C (Programming Language)C++CoachingCompliance Detection ToolCompliance MonitoringContent Summarization Tool

About

Experience

4 yrs 8 mos

Total Experience

1 yr 5 mos

Average Tenure

2 yrs

Current Experience

Etech global services

Senior Machine Learning Engineer

Jun 2024 – Present · 2 yrs · Texas, United States · Remote

In my role as a Senior Machine Learning Engineer at Etech Global Services, I designed and deployed an advanced conversational AI framework using Lang Graph, integrating Human-in-the-Loop (HITL) functionality for real-time intervention in chatbot workflows. This framework enhanced user experience and streamlined communication processes.
Designed and deployed an advanced conversational AI framework using Lang Graph, integrating HITL functionality for real-time intervention.
Implemented a Hybrid RAG system for efficient user query responses based on video content conversion.
Led the development of a compliance detection tool using an open-source LLM. The tool
dynamically generates prompts based on quality team guidelines and evaluates transcripts to determine if agents followed compliance. It outputs results in JSON format with detailed reasons for compliance or non-compliance.
Developed a speech-to-speech translation model for French to English, leveraging Large
Language Models (LLMs) to first convert speech to text and then back to speech. Optimized the model architecture to ensure low-latency communication and improved translation accuracy by 25% through advanced NLP techniques and iterative fine-tuning.

Lang GraphConversational AINLPCompliance Detection ToolSpeech-to-Speech TranslationMachine Learning+1

Eg allied pvt. ltd.

Machine Learning Engineer

May 2024 – Jun 2024 · 1 mo · India · Remote

Intellipaat

Data Science Trainer

Sep 2022 – Nov 2023 · 1 yr 2 mos · Delhi, India

Used coordination and planning skills to achieve results according to schedule.
Maintained excellent attendance record, consistently arriving to work on time
Managed and trained Professional batches Enrolled for Data Science Program.

Doubtnut

2 roles

Data Scientist

Jan 2022 – Feb 2024 · 2 yrs 1 mo · Gurugram, Haryana, India

Utilized advanced querying, visualization, and analytics tools to analyze and process complex data sets.
Developed Logistic Regression model of Lead prediction conversion with accuracy of 92%.
Played key role in evaluating and bringing tools like Meta base, Tableau,Google Analytics, Clever Tap, Branch, etc., for different use cases.
Content Summarization Tool LLM: Created a tool that uses LLM to summarize educational content such as textbooks, articles, and videos. The tool can generate concise summaries that highlight key concepts, ideas, and arguments, helping students quickly grasp the main points of complex materials.
NLP based Spam Classifier: Developed with a 96% accuracy rate, proficiently identifying, & blocking users using abusive or unreliable language in paid class comments and study group chats. Notably, ensured interpretability of results for effective action and decision making.
Duplicates Question Pairs Finder: Designed and implemented an NLP based question pair model to identify similarities in student doubts, streamlining the process for teachers to address common queries efficiently. This innovative solution enhances educators' ability to provide targeted assistance, ultimately improving the learning experience for students.

Logistic RegressionNLPContent Summarization ToolSpam ClassifierDuplicates Question Pairs FinderData Science+1

Data Scientist Associate

Oct 2021 – Jan 2022 · 3 mos · Gurugram, Haryana, India

Documented the business specification artifacts and functional specification artifacts.
Planned, conducted, and directed business analysis problems.
Participated in the creation/review of functional requirement specifications and supporting documents for business systems.
Designed different project solutions to handle a wide array of reporting needs from different aspects.
Proficient in scripting T-SQL queries, ranking functions, derived tables, common table expressions (CTEs), stored procedures, views, user-defined functions (UDF), constraints & Database triggers.
Used SQL Server error logs and event viewer to troubleshoot issues.
Extensively Monitored Performance with multiple tools like Performance Monitor, SQL Profiler, and Event Viewer to achieve better performance, resolve deadlocks/long-running queries, accessibility, and efficiency.
Imported, reshaped, and modeled the data with the query editor.
Developed and build the Reports, Dashboards and deployed them into Power BI Service.
Created Power BI reports and visualizations.
Created App Workspaces and content packs to share your insights.
Imported data from OneDrive and SQL and build the dashboards according to requirements.
Scheduled dashboards/dataset refresh.
Collaborated with Analysts and Knowledge Experts to design, build, and customize reporting packages.
Integrated custom visualization according to the business requirements document.
Migrated existing reports to Power BI.
Developed reports in Power BI Desktop and deployed to Power BI Service.
Developed Data Analysis Expression Language (DAX) calculations, measures.
Designed complex reports and dashboards using Filters, Drill-down Reports in Power BI Desktop.
Used Subscribe function to notify users if the underlying data in dashboard was changed.

J.p. morgan

Business Intelligence Intern

Mar 2020 – Jul 2020 · 4 mos · India

Project: Recommendation Engine
1. Automated reporting frameworks are written in Python/Pandas.
1. Writing and Optimizing queries for Analytics, Indexing data, using it for fast queries for ETL.
2. ETL, Preprocessing, and Postprocessing for the recommendation engine.
Domain: Retail. Platform: Python, MySQL, Pandas, Voldemort, Kettle.
Project: Analytics over Tb order Internet Data with Hadoop mappings and hive. This involved predicting various parameters like the demographics of website users.
Domain: Internet Usage data. Platform: Hive, Hadoop
Project: Conversion of a SAS Logistic Regression model into Python-MySql production code:
Platform: Python, MySQL