Manish Jain

Product Manager

Bengaluru, Karnataka, India12 yrs 4 mos experience

Highly StableAI Enabled

Key Highlights

Expert in Generative AI and NLP for finance.
Proven track record in building AI-driven platforms.
Strong background in data science and machine learning.

Stackforce AI infers this person is a FinTech expert specializing in Generative AI and NLP solutions.

Contact

manish.msiclub@gmail.com LinkedIn

Skills

Core Skills

Generative AiData ScienceNlpConversational AiSoftware Engineering

Other Skills

Financial AILLMsOpen-source modelsUser journey analysisTransformersHigh-dimensional representation learningData pipelinesDeep LearningSoft ComputingDistributed representation learningLearning-to-Rank solutionsDialogue managerNatural Language ProcessingIntrusion detectionNeural networks

About

Leading development of data-rich generative-AI powered conversational platform.

Experience

12 yrs 4 mos

Total Experience

3 yrs 2 mos

Average Tenure

1 yr 6 mos

Current Experience

Tifin

Data Science Manager - GenAI/LLMs

Dec 2024 – Present · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

Financial Generative AI
Building a AI-enabled platform for Mutual Fund Distibutors, to enables sales and research.

Generative AIFinancial AIData Science

Insyncai

3 roles

Engineering Manager - Data Science

Mar 2022 – Jan 2025 · 2 yrs 10 mos

Building in-house fine-tuned Generative AI models.
Leveraging open-source LLMs like ChatGPT and Bard for experimentation and explorations.
Building prototype for multiple Generative AI based products, which have potential to generate 2-3x revenue.

Generative AILLMsOpen-source modelsData Science

Lead Data Scientist

Apr 2020 – Mar 2022 · 1 yr 11 mos

User journey analysis leading to higher conversion rate in funnel based chat interactions.
Automated data generating models via Transformers.

User journey analysisTransformersData ScienceNLP

Senior Data Scientist

Feb 2019 – Mar 2020 · 1 yr 1 mo

Developed production lifecycle for data-rich conversational-AI platform, using high-dimensional representation learning.
Architecture for downstream tasks of intent detection, entity recognition, auto-clustering and context-engine for dialog manager.
Transformed data pipelines from high-volume data annotation requirements to minuscule data verification.
Built team from scratch for data-science support functions with adjustments of human biases and errors.
Working on abstractive summarization techniques.

Conversational AIHigh-dimensional representation learningData pipelinesData Science

Edge networks pvt. ltd.

2 roles

Senior Data Scientist

Promoted

Aug 2018 – Feb 2019 · 6 mos · Bengaluru, Karnataka, India

Working on distributed representation learning for longer sequences.
Developing a Learning-to-Rank solution.

Distributed representation learningLearning-to-Rank solutionsData Science

Data Scientist

May 2017 – Jul 2018 · 1 yr 2 mos · Bengaluru, Karnataka, India

Vellore institute of technology

Visiting Faculty - Data Science

Aug 2018 – Dec 2023 · 5 yrs 4 mos · India

Deep Learning for Industrial Applications
Emerging areas in Soft Computing

Deep LearningSoft ComputingData Science

Amelia

Research Engineer

Jun 2016 – May 2017 · 11 mos · Bengaluru, Karnataka, India · On-site

Amelia Science Lab - https://amelia.ai/
Involved in research and proof-of-concept development of a state-of-the-art open domain dialogue manager, with episodic memory and slot induction in place. It involves deep learning driven natural language processing, where Bi-LSTM is deployed as an encoder for next agent utterance retrieval. Deployed in Amelia V3.

Dialogue managerNatural Language ProcessingNLP

Samsung electronics

3 roles

Senior Software Engineer

Jun 2014 – May 2016 · 1 yr 11 mos · Bengaluru, Karnataka, India

Log based intrusion detection in an IoT environment, using neural network (ANN) based classification.

Intrusion detectionNeural networksSoftware Engineering

Software Engineer

Jun 2014 – Feb 2016 · 1 yr 8 mos · Bengaluru, Karnataka, India

Focused crawler based generation of parallel corpora from comparable corpora using ensemble of classifiers for statistical machine translation.
Design and development of log monitoring pipeline using Elasticsearch, Logstash and Kafka (ELK) stack for IoT action logs.
Study research trends in Internet of Things (IoT).

Statistical machine translationLog monitoring pipelineSoftware Engineering

Student Intern

Dec 2013 – Jun 2014 · 6 mos · Bengaluru, Karnataka, India

3GPP TS 24.390 compliant implementation of Unstructured Supplementary Services Data (USSD) feature over Samsung IMS solution deployed in US and Europe telecom makets.