Alakh Dixit

Software Engineer

Bengaluru, Karnataka, India5 yrs 7 mos experience

Most Likely To Switch

Key Highlights

Developed innovative NFT price prediction platform.
Optimized asset allocation using advanced financial models.
Strong foundation in Machine Learning and Financial Engineering.

Stackforce AI infers this person is a Fintech professional with expertise in Machine Learning and Financial Engineering.

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Skills

Core Skills

Machine LearningData AnalysisFinancial Engineering

Other Skills

Python (Programming Language)Network analysisResearchLogistic RegressionFeature EngineeringPortfolio ManagementFutures TradingEquity ValuationEquity ResearchDerivativesArbitrageFinancial ForecastingLong Short-term Memory (LSTM)Business AcumenStock Trading

About

I am a 2023 graduate from IIT Kharagpur with a Dual Degree (B.Tech & M.Tech) in Mining Engineering and Financial Engineering, complemented by a Minor in Mathematics and Computing and a Micro Specialization in Optimization Theory. Currently, I work as a Software Development Engineer (SDE) at Adobe, where I leverage my technical expertise and passion for finance and data analytics to develop innovative solutions. With a strong interest in Machine Learning and Deep Learning, I enjoy tackling real-world challenges and collaborating with diverse teams. I am committed to continuous learning and community engagement, aiming to make a meaningful impact through technology and innovation.

Experience

5 yrs 7 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 10 mos

Current Experience

Adobe

3 roles

Member of Technical Staff 2

Dec 2025 – Present · 5 mos · Bengaluru · On-site

Member of Technical Staff

Jul 2023 – Dec 2025 · 2 yrs 5 mos · Bengaluru · On-site

Research Intern

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India · Remote

Developed a platform to model and predict NFT prices based on aggregated data of 4.6M transactions on 600k NFTs over a 4-year period
Forecasted price movement of each NFT over a 2-month horizon , outperformed the state-of-the-art literature with higher AUC Scores
Modelled Trader-NFT interactions utilising nodes using NetworkX, extracting metrics like BiRank, PageRank and Degree Centrality
Constructed novel fraud features to detect wash trading and assessed its treatment effect using Causal Forests with metric as average treatment effect
Leveraged XGBoost Regressor to evaluate the demand, performance and volatility scores of each NFT

Python (Programming Language)Network analysisResearchLogistic RegressionFeature EngineeringMachine Learning+1

Anand rathi shares and stock brokers ltd

Winter Intern

Dec 2020 – Feb 2021 · 2 mos · Mumbai, Maharashtra, India · On-site

Created a portfolio consisting of the BankNifty companies and optimised the weights of asset allocation by maximising Sharpe Ratio
Curated a comprehensive report on arbitrage and reverse arbitrage opportunities in the stock-futures market
Formulated a dataset using past 10 years data consisting of features like beta, returns, volatility of Nifty_100 companies from prowessIQ
Developed an LSTM model with 0 FPR to predict the companies that will participate in the Nifty_50 index reconstruction in March'21

Portfolio ManagementFutures TradingPython (Programming Language)Equity ValuationEquity ResearchDerivatives+6

National students' space challenge

3 roles

Sponsorship and Marketing Head

Promoted

Jul 2020 – May 2021 · 10 mos

Led a team of 60 sub-heads and coordinators and raised funds via corporate relations amounting to a monetary profit of INR 2,00,000
Designed digital marketing campaign through various media houses and organised competitions such as space quiz on Dare2Compete

SubHead

Promoted

Aug 2019 – Jul 2020 · 11 mos

Led the publicity and execution of the events, and coordinating with over 300+ student ambassadors across the country
Successfully managed the workshops and accommodation of 2000+ students, participating in the India's largest Space-Tech Fest
Worked with a team of 30 members at ground level to ensure the smooth conduction of the fest, seminars, workshops and guest lectures

Junior Coordinator

Aug 2018 – Aug 2019 · 1 yr

Indian institute of technology, kharagpur

Research Internship

May 2020 – Aug 2020 · 3 mos · Kharagpur, West Bengal, India

Web Scrapped online newspaper articles and blogs relating to e-learning and distance learning during COVID.
Applied different NLP techniques in order to perform sentiment analysis on the dataset.
Interpreted the polarity and subjectivity results obtained using Textblob library in python to gain insights on review of E-learning post pandemic declaration.

Students' alumni cell, iit kharagpur

Student Member in Homecoming 2019

Jul 2019 – Aug 2019 · 1 mo

Worked as a Student Member in organizing Homecoming 2019, which welcomed back the batches of 1999, 2004 and 2009 i.e. batches celebrating their 10th, 15th and 20th anniversaries of graduation to have a fun-filled nostalgic 3 days.